OnlyDataJobs.com

DISYS
  • Minneapolis, MN

Client: Large Bank/Financial Services

Work Location: 100% Remote/Telecommute (Preferred Location: Minneapolis, MN) 

Duration: 12 month contract, extendable to 24 months, and eligible for conversion to FTE.

Position Title: People Analytics Consultant

Description:

  • Role requires project management and research experience.
  • Intermediate to Expert level of experience with R strongly desired.
  • Must be extremely comfortable with the following:   Interacting with dashboards --- Working with large datasets of structured and unstructured data ---- Data Reporting ---- Using Tableau ---- Understanding reporting requirements and structural hierarchies for reporting in a collaborative environment ---- Working independently ---- Working on multiple projects
  • Experience with graphic and visuals for storytelling with data/data reporting for executives and senior leaders is a huge plus

Key things that I am looking for:

  • Comfort with data- structured and unstructured
  • Survey design experience
  • experience with hands on deploying and managing survey/measurement related projects people/employee data analysis/modeling experience people analytics experience is a plus
  • Data visualization /graphic design for data reporting/storytelling experience is a HUGE plus
  • Comfort/experience with data analysis tools/programming languages such as SPSS, R, and/or Python


Desired Qualifications:

  • 1+ years of experience with R (Programming Language) and RStudio
  • 6+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Masters Degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 
  • 4+ years of experience in one or a combination of the following: reporting, analytics, or modeling
  • 2+ years of Experience with Tableau -must be comfortable building out dashboards, creating visualizations, working with complex structured and unstructured data in Tableau
  • 2+ years creating dashboards and reporting data in a clear and structured way using tools/code such as R, SQL, Python
FPC of Three Rivers PA
  • Dallas, TX

Summary

FPC of Three Rivers is happy to present Senior Data Scientist role in the healthcare industry. You will be part of a team working to build next gen data analytics / Machine Learning empowered products.    

Day to Day

  • As part of a team of data scientists, software developers, and architects; engage business users to understand and solve complex problems using data analytics and insights.
  • Prototype / develop new Artificial Intelligence / Machine Learning based products, as well as enhancements/upgrades to existing products all of which provide business value.
  • Maintain a passion for innovation, specifically at the nexus of abstract mathematics, analytics, and computer science.
  • Be a multiplier, increasing group expertise through exploration of emerging domains, toolsets, and methodologies.

Required Qualifications

  • Masters degree in statistics, analytics, mathematics, machine learning or related field.
  • 4+ years of experience using Machine Learning and/or Artificial Intelligence to solve tangible business problems within an established organization.
  • Demonstrated success in translating unstructured business problems into analytical models.
  • Experience with a subset of the following tools / libraries: Python, R, Jupyter, Zeppelin, SparkML, H20, and/or TensorFlow.
  • Experience with cloud computing environments.


Preferred Qualifications

  • Experience with healthcare data analytics.
  • Experience with healthcare industry processes, trends, and standards.
U.S. Bank
  • Minneapolis, MN

SUMMARY

The successful candidate for this Data Analyst position will be responsible for day-to-day reporting of mobile app voice capability function. This is a business line support function that will provide reporting of voice adoption and performance metrics used in communication plans with development and data science groups for targeting enhancements. The successful candidate should be able to provide and communicate reporting findings to peers and senior stakeholders.

RESPONSIBILITIES

This position's job functions will include:

- Reporting/KPIs: Agile reporting dashboards, Capex and Epic and tactical performance measurement.

- Raw data requests: active customers and customers by age, duration, income, etc.

- Adoption/Engagement: user metric tracking, engagement frequency, volume measurement, segmentation reporting and geo-location reporting.

- Digital voice funnel insights: success rates, processing and response timing and engagement and fallout.

- A/B testing: front-end test design with technical partners and test performance measurement (quality tacking, e.g., fall out, success rates, usage rates and response time, and conversion (tracking to goal).

- Satisfaction tracking: CSAT, sentiment and leading satisfaction indicator identification.

- Visualization: self-service dashboard development and proven ability to develop in Excel and Tableau.

This position will help drive and contribute to the overall team success measures and goals related to:

- KPI Metrics (LOB Dashboards)

- Descriptive Statistics

 -Raw Data Requests

- CapEx Planning / Forecasting

- Benchmarking

- Funnel Analysis

- Forecasting (Plan)

- Optimization (Operational)

REQUIRED

- Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience.

- 6+ years of statistics or analytics experience.

- Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience.

PREFERRED

- Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and others to perform analysis and interpret data.

- Mastery of Microsoft Excel.

- Experience in report development, automation, and visualization.

- Strong reporting skills with the ability to extract, collect, organize, and interpret trends or patterns in complex data sets.

- Basic understanding of data science capabilities and language.

- Demonstrated project management skills.

- Demonstrated leadership and pro-activity skills.

- Effective interpersonal, verbal and written communication skills.

- Considerable knowledge of assigned business line or functional area.

- Working knowledge of customer self-service technology capabilities.

- Basic understanding of data architecture and development concepts.
Accenture
  • Houston, TX
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
AWS Big Data Engineering professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    Professional Skill Requirements
    • Proven success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Ability to work with senior client executives
    Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
    Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
    Equal Employment Opportunity
    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
    Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Atlanta, GA
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
AWS Big Data Engineering professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    Professional Skill Requirements
    • Proven success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Ability to work with senior client executives
    Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
    Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
    Equal Employment Opportunity
    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
    Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Dallas, TX
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
AWS Big Data Engineering professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    Professional Skill Requirements
    • Proven success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Ability to work with senior client executives
    Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
    Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
    Equal Employment Opportunity
    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
    Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Minneapolis, MN
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
AWS Big Data Engineering professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    Professional Skill Requirements
    • Proven success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Ability to work with senior client executives
    Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
    Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
    Equal Employment Opportunity
    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
    Accenture is committed to providing veteran employment opportunities to our service men and women.
StubHub
  • San Francisco, CA
JOB ID:  R0028748

POSITION:  Senior Machine Learning Engineer

ORGANIZATION: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)

StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. 



The Opportunity:

We are seeking a creative Senior Machine Learning Engineer with expertise in predictive models, optimization algorithms, software development and cloud computing platforms. You will lead the production and deployment of models that will delight our fans by helping them buy and sell the best tickets at the right price at the right time.

Your models will have a direct impact on StubHub’s bottom line and on the efficiency of the markets on its platform. You will have access to the rich data set of the world’s largest dynamically priced ticketing marketplace. You will work with data scientists to build models that describe customer behavior, predict market trends, quantify risk and provide customers with tools that help them see their favorite performers at the best price and sell their tickets effortlessly when they can’t go. You will optimize the implementation of those models by crafting well engineered software and by finding ways to alter or speed the algorithms being used. You will drive impact by building frameworks to rapidly deliver data and predictions to customer-facing products.

The data science and machine learning group is a small team of extraordinary scientists and engineers based in StubHub's San Francisco headquarters. We work closely with other teams in the company to establish business goals, to incorporate existing insights into our algorithms, to uncover new opportunities for optimizing the business and to establish rigorous methods for gauging performance.



You Will


  • Lead the delivery of algorithms that predict market dynamics and power tools that allow our customers to effortlessly find the tickets they want or sell the tickets they can't use.

  • Work with data scientists to mine our rich data set to discover customer behavior trends and market dynamics.

  • Collaborate with teams throughout the business deploy our models effectively.

  • Inspire your teammates with your knowledge of dynamic systems modeling, algorithms and modern software development techniques.

  • Use state of the art big data and statistical modeling tools in a cloud computing environment.

  • Frame complicated problems in simple terms and enjoy clarifying sophisticated solutions.

  • Bring a passion for discovery, problem solving and groundbreaking technology.


You Have


  • A degree in Computer Science or equivalent quantitative field.

  • Over 5 years of experience personally developing statistical models, algorithms and custom software.

  • A mastery of programming languages like Python, Java and C++.

  • An expertise in building performant software through optimal use of computer memory, efficient I/O techniques and algorithm choice.

  • Authoritative knowledge of modern ML libraries like TensorFlow, Keras, PyTorch and Spark.

  • A cherished memory of an amazing concert or sporting event and a dedication to help others live such experiences

ING
  • Amsterdam, Netherlands
ING is looking for experienced hires to help build on our Global Analytics ambition


About ING


Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, Omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make the difference by using machine learning to generate data driven products and solve the most pressing business challenges, please read on.


We are incredibly excited about Data Analytics and the great potential for progress and innovation. We believe that analytics is a key differentiator in bringing “anytime, anywhere, personalized” services to our customers.  We wish to improve our operational processes and create new and innovative data driven products that go beyond traditional banking, such as the platform models.  Achieving this vision will require us to build and expand on our analytics effort and organize ourselves around focused value buckets with strong coordination capabilities of data, technology, customer journey, UX, as well as external partnerships. 



Global Analytics


Global Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Center of Excellences around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence, etc.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.



Financial Crime & RegTech CoE (Center of Excellences)


To be a compliant and safe bank is non-negotiable precondition of everything we do. 


Purpose of the Financial Crime and RegTech center of excellence is to define the strategy and drive the development, implementation and adoption of analytics capabilities in the financial crime domain to make ING a safer and more compliant bank



Role Profile


As part of the center of excellence you will help creating innovative scalable data driven solutions in the space of Financial Crime. You proactively work with teams to implement these solutions across the organization.


You will work collaboratively with an extended group of stakeholders, including but not limited to Operations, Compliance, Engineering, Legal, Corporate Audit.


A background in anti-money laundering services or fraud is therefore a plus



About you



  • You Data Science knowledge enables you build analytics solutions for mitigation of Financial Crime related risks.

  • Willing and able to learn and to improve your technical as well your interpersonal skills.

  • You are a creative and curious Data Scientist who looking forward to work on a wide variety of Financial Economic Crime related problems.

  • You have a thorough understanding of the machine learning algorithms and tooling and are able to pass your knowledge to others.

  • Your are proficient in coding and you are able to deliver production ready code.

  • You have extensive experience with transforming data to added value for your stakeholders. You are able to see things from a different perspective and to make original solutions work in practice; when suitable you propose such endeavors to stakeholders.

  • You are able to see where ING can set further steps towards becoming a truly data driven bank. You’re always thinking one step ahead, for example in advising about the best way of implementation.

  • Your communication skills enable you to work together with many different parties throughout our organization.

  • You have extensive experience with stakeholder management from within data science projects.

  • Your enthusiasm is visible and you are good with mobilizing people for our data driven purpose.




  • You like working in cross-functional teams to realize an ambitious goal.

  • You are not shy to ask for help of other Data Scientists in the team, and you are happy help them out by sharing your knowledge and capabilities. You are able and willing to guide junior Data Scientists and interns in their work; you also have experience doing so in your previous roles.

  • You are a team player who strikes effective balance between independence and acting in the interest of the team.

  • You are perseverant and you do not give up when a problem is hard; you know how to deal with set-backs.

  • Your enthusiasm is contagious and inspires others to act; your act sets an example for others.


Candidate Profile



  • MSc or PhD with excellent academic results in the field of Computer Science, Mathematics, Engineering, Econometrics or similar.

  • At least 3/4 years work related experience in a similar role and/or environment.

  • Machine Learning: Classification, Regression, Clustering, Unsupervised methods, Text Mining. You have an excellent understanding of Random Forests, Gradient Boosting, Neural Networks, Logistic Regression, SVM, KNN, K-Means, etc. Parametric and non-parametric statistics is a pre.

  • Programming Languages: Python and R. Scala is a pre

  • Tools: Spark, Hadoop.

  • Database handling: SQL, Hive. Familiarity with Oracle, Netezza, HBase, Cassandra, Graph databases is a pre.

  • Visualisation tools: D3.js, Shiny, Angular.



Do you recognize a call upon You in our description? Then please apply and join us to change the future of banking!

Viome
  • Santa Clara, CA

Viome is a wellness as a service company that applies artificial intelligence and machine learning to biological data – e.g., microbiome, transcriptome and metabolome data – to provide personalized recommendations for healthy living. We are an interdisciplinary and passionate team of experts in biochemistry, microbiology, medicine, artificial intelligence and machine learning.

We are seeking an experienced and energetic individual for a Senior Backend Software Engineer position who can work onsite at our Santa Clara, CA, office.

Responsibilities:



  • Collaborate with AI/ML and Bioinformatics engineers to gather specific requirements to design innovative solutions

  • Support the entire application lifecycle (concept, design, test, release, and support)

  • Produce fully functional web applications

  • Develop REST APIs to support queries from web clients

  • Design database schemas to support applications

  • Develop Web Applications for internal scientists and operation teams

  • Architect distributed solutions to help applications scale

  • Write unit and UI tests to identify malfunctions

  • Troubleshoot and debug to optimize performance



Qualifications:



  • BS/MS degree in Computer Science or related field with 7+ years of relevant experience

  • Strong Scala, Core Java, Spring Boot, Microservices, Akka/Play Framework, HTML, CSS, JavaScript, React, Redux, PostgreSQL

  • Advanced knowledge of build scripts and tools such as Ansible, Jenkins, CircleCI, Apache Maven, Gradle, AWS CodeDeploy and similar

  • Proven experience with relational database design, object-oriented programming principles, event-driven design principles, and distributed processing design principles

  • Solid understanding of information security standards and methodologies

  • Familiarity with cloud technologies such as AWS and distributed processing technologies such as MapReduce, Hadoop and Spark is a big plus

  • Previous experience scaling large backends (1M+ users) is a big plus



Viome is 130+ person start-up offering a successful commercial product that has generated high demand. With offices in California, New Mexico, New York, and Washington, we are looking to hire team members capable of working in dynamic environments, who have a positive attitude and enjoy collaboration. If you have the skills and are excited about Viome’s mission, we’d love to hear from you.

DTCC
  • Dallas, TX

Business Unit: Group Chief Risk Office

Department: Quantitative Risk Management - QRM

Job Family: Oversight and Control

Job Title: Senior Quantitative Analyst

Corporate Title: Associate Director

FLSA Code (US Only): Exempt


Location: Dallas TX or Tampa FL

Business Unit Description:

Our Risk Management teams work to protect the safety and soundness of our systems and are responsible for identifying, managing, measuring and mitigating a spectrum of key risk types including credit, market, liquidity, systemic, operational and technology in all existing and new products, activities, processes and systems.

Position Summary:

The Senior Quantitative Analyst is primary responsible for designing, developing and testing new quantitative risk management models, while enhancing existing models. The role will also responsible for model performance monitoring and ad-hoc studies.

Principal Responsibilities:

Work with the team to build and maintain state of the practice quantitative risk management models and tools; including market risk, liquidity risk, and credit risk models.

Deliver both strategical and tactical solutions to risk modeling issues and problems.

Collaborate with internal departments including model validation, market risk, legal and audit to maintain transparency when assessing potential risk exposures within member firms. By doing so the candidate gains a solid understanding of risk management practices within a CCP.

Build prototypes of new models or model enhancements and work with technology teams to implement proposed models.

Stay abreast of the latest developments and best practices in quantitative financial modeling and risk management.

Experience:

3+ years of experience in financial risk management / financial engineering / data analysis / modeling.

Knowledge and Skills Required:

Understanding of traded products, market conventions, as well as risk measurement for equities and/or fixed income products.

Working experience with basic market risk management models such as Value at Risk and financial time series models.  

Ability to handle large set of data and data cleansing. Basic understanding and exposure to data science techniques such as regression, clustering, decision tree etc.

Ability to operate independently as well as being an effective team player.

Excellent communication and presentation skills.

Programming skills in SQL, Python or R; additional programming language is a plus.

Education, Training &/or Certification:

Masters degree in a finance, computer science, or quantitative field Minimum requirement

Acxiom
  • Austin, TX
As a Senior Hadoop Administrator, you will assist leadership for projects related to Big Data technologies and software development support for client research projects. You will analyze the latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings. You will bring these insights and best practices to Acxiom's Big Data Projects. You are able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them. You will develop highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You are also a self-starter able to continuously evaluate new technologies, innovate and deliver solutions for business critical applications


What you will do:


  • Responsible for implementation and ongoing administration of Hadoop infrastructure
  • Provide technical leadership and collaboration with engineering organization, develop key deliverables for Data Platform Strategy - Scalability, optimization, operations, availability, roadmap.
  • Lead the platform architecture and drive it to the next level of effectiveness to support current and future requirements
  • Cluster maintenance as well as creation and removal of nodes using tools like Cloudera Manager Enterprise, etc.
  • Performance tuning of Hadoop clusters and Hadoop MapReduce routines
  • Screen Hadoop cluster job performances and capacity planning
  • Help optimize and integrate new infrastructure via continuous integration methodologies (DevOps CHEF)
  • Lead and review Hadoop log files with the help of log management technologies (ELK)
  • Provide top-level technical help desk support for the application developers
  • Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality, availability and security
  • Collaborating with application teams to perform Hadoop updates, patches, version upgrades when required
  • Mentor Hadoop engineers and administrators
  • Work with vendor support teams on support tasks


Do you have?


  • Bachelor's degree in related field of study, or equivalent experience
  • 6+ years of Big Data Administration Experience
  • Extensive knowledge and Hands-on Experience of Hadoop based data manipulation/storage technologies like HDFS, MapReduce, Yarn, Spark/Kafka, HBASE, HIVE, Pig, Impala, R and Sentry/Ranger/Knox
  • Experience in capacity planning, cluster designing and deployment, troubleshooting and performance tuning
  • Experience supporting Data Science teams and Analytics teams on complex code deployment, debugging and performance optimization problems
  • Great operational expertise such as excellent troubleshooting skills, understanding of system's capacity, bottlenecks, core resource utilizations (CPU, OS, Storage, and Networks)
  • Experience in Hadoop cluster migrations or upgrades
  • Strong scripting skills in Perl, Python, shell scripting, and/or Ruby on Rails
  • Linux/SAN administration skills and RDBMS/ETL knowledge
  • Good Experience in Cloudera, HortonWorks, and/or MapR versions along with monitoring/alerting tools (Nagios, Ganglia, Zenoss, Cloudera Manager)
  • Strong problem solving and critical thinking skills
  • Excellent verbal and written communication skills


What will set you apart:


  • Solid understanding and hands-on experience of Big Data on private/public cloud technologies(AWS/GCP/Azure)
  • DevOps experience (CHEF, Puppet and Ansible)
  • Strong knowledge of JAVA/J2EE and other web technologies

 
TomTom
  • Amsterdam, Netherlands
At TomTom…

You’ll move the world forward. Every day, we create the most innovative mapping and location technologies to shape tomorrow’s mobility for the better.


We are proud to be one team of more than 5,000 unique, curious, passionate problem-solvers spread across the world. We bring out the best in each other. And together, we help the automotive industry, businesses, developers, drivers, citizens and cities move towards a safe, autonomous world that is free of congestion and emissions.

What you’ll do



  • Have a direct impact on our solutions for automated HD mapping, closely interacting with R&D engineers

  • Design, implement and extend our large-scale codebase in Python & TensorFlow, containing both prototyping and production code

  • Implement internal tools and services to make our machine learning solutions work in production



What you’ll need



  • Expert knowledge of Python

  • Hands-on experience with Cloud Computing (AWS, Azure), Microservices, Containers, CI/CD (Jenkins)

  • Experience with writing clean, elegant and maintainable production-level code

  • Ability to participate in the development and delivery cycle, from analysis, through implementation, to deployment and maintenance in production

  • Good understanding of mathematics, geometry, statistics, and software design principles



What’s nice to have



  • Experience with modern C++

  • Experience with deep learning frameworks, e.g., TensorFlow or PyTorch

  • High motivation for getting research products and prototypes into production

  • Being technically proactive, learning about new technologies, judging their value, and promoting their adoption when beneficial

  • Creative problem solver and team player; TomTom is a collaborative environment



Meet your team



We’re Autonomous Driving (AD). Our product unit develops, delivers and maintains products for advanced driver-assistance systems and automated driving – with the TomTom HD Map at the core of our work. Every day, we welcome new challenges, do world-class R&D and apply it using the latest machine learning and computer vision techniques. On our team, you’ll not only play a part in making autonomous driving a reality, you’ll transform the way people commute while boosting safety and comfort for everyone on the road.




Achieve more

We are self-starters who play well with others. Every day, we solve new problems with creativity, meet new people and learn rapidly at our offices around the world. We will invest in your growth and are committed to supporting you. In everything we do, we’re guided by six values: We care, putting our heart into what we do; we build trust (you can count on us); we create – driven to make a difference; we are confident, but don’t boast; we keep it simple, since life is complex enough; and we have fun because life’s too short to be boring. 

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout the process, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews through your onboarding.

TomTom is an equal opportunity employer

We celebrate diversity, thrive on each other’s differences and are committed to creating an inclusive environment at our offices around the world. Naturally, we do not discriminate against any employee or job applicant because of race, religion, color, sexual orientation, gender, gender identity or expression, marital status, disability, national origin, genetics, or age.

Ready to move the world forward?

Brooksource
  • Atlanta, GA

Senior Business Intelligence Analyst

Vinings area of Atlanta, GA

Contract-to-Hire

As a BI Analyst III, you will be developing data solutions in conjunction with key initiatives driven by the different business groups within the organization. You'll be joining a Data Analytics team and working directly with SQL, Tableau, statistical modeling, predictive modeling, machine learning, and other tools that are being used in conjunction to make data and spreadsheets understandable to non-IT colleagues.

Qualifications:

  • Minimum of 3 years of advanced SQL development and troubleshooting experience
  • Bachelor of Science in Computer Science, Computer Information Systems, Management Information Systems, Information Technology, Applied Statistics, or closely-related degree
  • Proven track record of business analysis, requirement definition and solution delivery (examples will be requested during interview)
  • Data Visualization experience (Tableau / Cognos / SSRS) strongly preferred
  • Good organizational and interpersonal skills with the ability to work with various functional areas, including Tech Ops, Care, Marketing, and Finance
  • Great attention to detail
  • Ability to work well in a fast-paced environment
  • Flexibility and a positive attitude

Objectives:

  • Functions as a liaison between the client, community, and internal IT and/or external software vendors to develop system solutions to processing systems or business problems.
  • Develop data solutions in conjunction with key initiatives within the organization.
  • Analyze and revise existing system logic difficulties and documentation, as necessary.
  • Reviews project proposals, including gathering facts, analyzing data, and preparing project overview which compares alternatives in terms of cost, time, availability of equipment, and personnel, etc. Recommends course of action.
  • Prepare detailed specifications from which programs will be written.
  • Identifies and assesses probable interactions of related computer systems and predicts impact of a change in assigned system.
  • Ensures data quality and integrity across data-specific application implementations.
  • Supports the testing team and business users in validating that the programs meet the requirements.
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Other duties and responsibilities as assigned.

Perks of the Opportunity:

  • Grow a longterm career with a highly reputable Fortune Top 50 global media and technology company leading in innovation
  • Work out of a brand-new office building in a great location in the Battery of SunTrust Park (includes onsite Starbucks, gym, and cafeteria)
  • Free parking with convenient access to a wide variety of restaurants and shops
  • 1 work-from-home day each week

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Expedia Group - Europe
  • London, UK

Have you got an interest in Marketing Technology? Are you a Senior Software Development Engineer looking for a new challenge?   In Expedia there is no team like it; a driven and ambitious culture where fun is as important as hard work. If you are successful, this team will be like you - grow your career at a fast pace, work hard play hard, work with the best technology on the market, be respectful & care about your team. As a Senior Software Development Engineer, you will shape and direct this culture.


This is an opportunity for a software developer who values code quality and enjoys solving meaningful technical problems to make a huge impact on business results. Technologies we currently work with are Spark, AWS, Kotlin, Scala, SQL, and NoSQL databases. You should enjoy learning new technologies, working on complex problems, and thrive in a dynamic and agile environment.


In the Marketing Technology Team  our software development teams are made up of several developers with varied experience levels so team members learn from each other. Each team tackles challenges and solves problems in their space, and ships solutions to customers as frequently as possible, often multiple times a day.


We have marketing projects that span variety of focus areas, right from working with applications powering different marketing channels such as Google Ads, Facebook and Meta, advertising various lines of business (Flights, Hotels, Cars, Packages etc.) along with building infrastructure/platform and services that support those applications lifecycles in cloud and data centre.


What you’ll do:



  • Use your creativity, first-class engineering skills, and technical knowledge to deliver features and improvements.

  • Work closely with architecture and lead business critical projects.

  • Identify and adopt new technologies, frameworks and standard methodologies.

  • Improve the operational aspects of the platform with updates to our deployment process, test automation, performance tuning and monitoring.

  • Share your interests and passions with our fun-loving, active team.



Who you are:



  • Possess significant professional experience in software development

  • Expert knowledge of micro-service architecture

  • Experience working in AWS and continuous delivery practices.

  • Dedication to writing and maintaining high-quality code.

  • Ability to rapidly acquire and learn new software skills and technologies.

  • Strong customer focus, excellent problem solving and analytical skills.

  • Experience with Spark, Scala, Kotlin and NoSQL technologies



Why join us:
Expedia Group recognizes our success is dependent on the success of our people.  We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business.  Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so. 


Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach.  We relentlessly strive for better, but not at the cost of the customer.  We act with humility and optimism, respecting ideas big and small.  We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple.  Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.


If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.


Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.


#LI-DP1



Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

JHU Applied Physics Laboratory
  • Laurel, MD
  • Salary: $100k - 140k

The Johns Hopkins Applied Physics Laboratory (APL) is a national leader in scientific research and development. APL is actively seeking a Senior Data Scientist for the Health Data Sciences & Analytics Group. The Senior Data Scientist will support the National Health Mission Area, whose aim is to revolutionize health through science and engineering. JHU/APL is located midway between Baltimore and Washington, DC.


The Health Data Science and Analytics Group provides cutting edge analytics contributions to national and global publichealth and healthcare challenges, developing solutions in Health Informatics, Population Health, Precision Medicine, Digital Health, Analytics and Software Systems. Our multidisciplinary team of engineers and scientists develop statistical and machine learning algorithms and incorporate visual analytics into software systems that process large and complex data sets. We are looking for data scientists, computer scientists, applied mathematicians, statisticians and software developers that are creative problem solvers and team players dedicated to building world class expertise to provide
solutions for health and healthcare systems around the globe.


Job Summary:
Design and develop novel computational algorithms and statistical methods and design corresponding data architectures to analyze large and complex data for a variety of challenging health and healthcare problems.
Duties:
1. Develop advanced algorithms and create software applications to perform analytics on large-scale and complex data for real-world health and healthcare applications. Promote a climate conducive to intellectual curiosity, creativity, innovation, collaboration, growth, life-long learning, productivity, and respect for others.
2. Be a leader in data science and analytics efforts. Provide input to team leads and other analysts to help define the team’s vision, design and execute analytic projects from start-to-finish, inform technical direction, and support reporting of accomplishments. Assure milestones are met on time and be responsive to sponsor needs. Build collaboration among health stakeholders, working across organizations to bring consensus to achieve objectives. Become a sought out resource by consistently producing high-quality results.
3. Document and present papers to communicate impact of research and engage with sponsor and stakeholder community.
4. Communicate often and effectively with team, sponsors and JHU/APL leadership. Participate in the data science, analytics and APL community. Take advantage of collaboration and innovation opportunities to help ensure success of APL’s mission.


Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.


Qualifications - External
Required Qualifications:
• M.S. in Computer Science, Information Science, Mathematics, Statistics, Data Science, or related field.
• 5-10+ years of experience.
• Demonstrated ability in selecting, developing, and applying machine learning and data mining algorithms.
• Working knowledge of modern large-scale data systems and architectures; ability to manage and manipulate large disparate data sets.
• Experience with graph analytics.
• Experience with pattern recognition, statistical analysis and machine learning; fluent, with hands-on experience with some of the following implementation languages: Python, R, Matlab, JAVA, or C++/C;
• Excellent interpersonal skills and outstanding written and oral communication skills; ability to articulate complex technical issues effectively and appropriately for a wide range of audiences.
• Strong problem solving skills strong analytical and organizational skills; ability to work independently or within a group.
• Must be eligible for Secret clearance requiring background investigation.


Desired Qualifications:
• Ph.D. in the disciplines listed above.
• Demonstrated capability to carry out original machine learning research beyond incremental application of existing techniques, as evidenced by publications in premier conferences.
• Research records that illustrate in-depth understanding of underlying theory necessary to develop novel algorithms to address unique real-world challenges.
• Extensive experience in developing and applying machine learning algorithms in health and healthcare application settings.
• Research experience with advanced machine learning research topics.
• Experience with data–driven predictive model development, unstructured text mining, natural language processing, and anomaly and novelty detection.
• A strong technical writing background.
• Experience in medicine, emergency response, or public health applications and/or exposure to clinical information systems and medical data standards.


Special Working Conditions: Some travel to local sponsor sites and support for field testing may be required.



Security: Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.


Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Wallethub
  • No office location

Company details


WalletHub is one of the leading personal finance destinations in the US and rapidly growing. We’re looking for a highly skilled and motivated Senior Systems Administrator for a full-time, permanent position.


Requirements


You are the ideal candidate for this job if you have:



  • At least 5 years of experience in supporting AWS based production infrastructure.

  • Bachelor's or Master’s degree in Computer Science or equivalent work experience.

  • 3+ years of experience administering UNIX/Linux server required or equivalent work experience.

  • 3+ years of experience with Apache, Tomcat and any other Java application servers and relational database servers like MySQL (LAMP experience is highly preferred).

  • Experience with monitoring tools like Nagios, tripwire, aide etc and other custom monitoring tools.

  • Experience with configuring and securing mission critical production servers.

  • Experience with configuring load balancers and data.

  • Experience in Shell Scripting or Perl, with experience implementing automation and monitoring using shell scripting.

  • Experience in analysis and system performance tuning.

  • Critical thinking skills in a complex IT environment to analyze, troubleshoot, and resolve problems without direction.

  • Outstanding organizational skills and the ability to handle multiple projects simultaneously while meeting deadlines.

  • Excellent verbal and written communication skills.

  • Willingness to work hard (50 hrs per week).


Responsibilities



  • Ensure proper security, monitoring, alerting and reporting for the infrastructure and be the on-call for production servers.

  • Develop security monitoring and other tools to ensure the integrity and availability of our applications, server resources, reviewing system and application logs.

  • Work with the incident team to diagnose and recover from hardware or software failures working with or as the Incident Commander to coordinate and communicate with our internal customers.

  • Assist project teams with technical issues during development efforts.

  • Gather system requirements and support several project teams in evolving, testing and rolling-out new products and services, then transitioning the site or product to post launch operations activities throughout life of the product or service.

  • Work with the application development team and other systems engineers to make improvements to current infrastructure.

  • Document processes and procedures and follow a formal change management procedure.


Our Offer



  • Very competitive salary based on prior experience and qualifications

  • Potential for stock options after the first year

  • Raise and advancement opportunities based on periodic evaluations

  • Health benefits (in case you will be working from our office in Washington DC)

  • Visa sponsorship



Note: This position requires candidates to be living in the US. The position can be performed remotely if you don't live in the Washington DC area.



More about WalletHub


WalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:


1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.


2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.


3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.


In addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.



How to Apply


To get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to jobs.dev@wallethub.com

Wallethub
  • No office location

Company details


WalletHub is one of the leading personal finance destinations in the US and rapidly growing. We’re looking for a highly skilled and motivated Senior Systems Administrator for a full-time, permanent position.


Requirements


You are the ideal candidate for this job if you have:



  • At least 5 years of experience in supporting AWS based production infrastructure.

  • Bachelor's or Master’s degree in Computer Science or equivalent work experience.

  • 3+ years of experience administering UNIX/Linux server required or equivalent work experience.

  • 3+ years of experience with Apache, Tomcat and any other Java application servers and relational database servers like MySQL (LAMP experience is highly preferred).

  • Experience with monitoring tools like Nagios, tripwire, aide etc and other custom monitoring tools.

  • Experience with configuring and securing mission critical production servers.

  • Experience with configuring load balancers and data.

  • Experience in Shell Scripting or Perl, with experience implementing automation and monitoring using shell scripting.

  • Experience in analysis and system performance tuning.

  • Critical thinking skills in a complex IT environment to analyze, troubleshoot, and resolve problems without direction.

  • Outstanding organizational skills and the ability to handle multiple projects simultaneously while meeting deadlines.

  • Excellent verbal and written communication skills.

  • Willingness to work hard (50 hrs per week).


Responsibilities



  • Ensure proper security, monitoring, alerting and reporting for the infrastructure and be the on-call for production servers.

  • Develop security monitoring and other tools to ensure the integrity and availability of our applications, server resources, reviewing system and application logs.

  • Work with the incident team to diagnose and recover from hardware or software failures working with or as the Incident Commander to coordinate and communicate with our internal customers.

  • Assist project teams with technical issues during development efforts.

  • Gather system requirements and support several project teams in evolving, testing and rolling-out new products and services, then transitioning the site or product to post launch operations activities throughout life of the product or service.

  • Work with the application development team and other systems engineers to make improvements to current infrastructure.

  • Document processes and procedures and follow a formal change management procedure.


Our Offer



  • Very competitive salary based on prior experience and qualifications

  • Potential for stock options after the first year

  • Raise and advancement opportunities based on periodic evaluations

  • Health benefits (in case you will be working from our office in Washington DC)

  • Visa sponsorship


Note: This position requires candidates to be living in the US. The position can be performed remotely if you don't live in the Washington DC area.


More about WalletHub


WalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:


1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.


2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.


3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.


In addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.


How to Apply


To get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to jobs.dev@wallethub.com

Findify
  • Stockholm, Sweden

As part of our engineering team you will be responsible for building our product, an advanced machine learning algorithm within search personalization for e-commerce. As demand for our product continues to increase, we are on a journey to grow the team substantially in 2019. We’d love for you to join us.



About the role:


You will be part of a small team that moves fast and iterates. We do weekly sprints, code reviews, testing, and put a lot of emphasis on code style, cleanliness and robustness. You will get to work with amazing engineers specializing in machine learning and distributed systems.



Your responsibilities include:



  • Managing and improving Findify’s data pipelines - a crucial responsibility for us as Findify collects millions of data points every day to feed our machine learning algorithms

  • Enhancing some of the critical components of our system to successfully integrate our customers’ products and improve our search capabilities

  • Actively contributing to the overall design of our infrastructure and the application of our product vision



About you:


You are a creative problem-solver with passion for programming and building scalable architectures.



You are:



  • Initiative-taking; you are self-motivated, a doer, and can drive projects from start to finish

  • A team-player; you are comfortable working with different styles and believe (like us) that together we achieve much more than alone

  • Driven; working hard to achieve a goal you care about and running several projects in parallel is no stranger to you

  • A great communicator; you are comfortable in communicating in English both written and oral, including explaining your technical development to internal and external partners

  • Located within time zone GMT and GMT +3



You have:



  • A BSc or MSc in Computer Science or related technical discipline

  • At least 3 years of Scala work experience

  • Experience with relational database systems such as PostgreSQL

  • Familiarity with Akka Stream, Akka HTTP or Flink

  • Experience with Git

  • Working knowledge with Linux/Unix



We’d be extra impressed if you also have:



  • Experience with AWS / key-value databases such as Cassandra / data-mining / machine learning / search frameworks such as Lucene / e-commerce platforms

  • Dev-ops skills

  • Experience in working in/with remote teams

  • Experience in working in agile/lean methodologies

  • A side project or blog that showcases your passion



We believe that the more inclusive we are, the better products we build and the better we are able to serve our customers. Women and other minorities under-represented in tech are strongly encouraged to apply.

Pandora
  • Atlanta, GA

Music and data are at the heart of Pandora. As a member of the User Engagement data science team, you will help us build models and design experiments that impact the listening experience of millions of people every day.  We are looking for enthusiastic data scientists with experience in machine learning, statistical modeling and analysis, combined with strong CS fundamentals and coding abilities. Scientists on our team partner with engineers, product managers, and other key stakeholders in the product and marketing teams. You'll interact regularly with senior leadership to directly guide and shape Pandora's efforts in one or more of the following areas:


  • Building ML models and improving the core recommendation system that helps serve music to millions of listeners

  • Developing new ways to model user behavior using cutting-edge techniques

  • Optimizing models to drive user growth and engagement

  • Exploring new opportunities to integrate SiriusXM and Pandora radio programming



Successful candidates will have outstanding communication skills, demonstrated ability to work effectively in a small team, and a natural sense of curiosity and drive to experiment. We welcome diverse perspectives and a collaborative spirit.


Relocation and visa programs available.


Requirements:

  • PhD degree in quantitative field (for example: Computer Science, Machine Learning, Statistics, Biology, Neuroscience, Physics, or Mathematics)

  • Demonstrated background in machine learning and applied statistics

  • 2+ years of industry experience in a data science role

  • Strong Python programming skills

  • Experience with Hive or SQL databases

  • Experience implementing ML models at a large scale in a production environment

  • Experimental design and A/B testing


Plus Requirements:

  • Experience with the Hadoop technology stack
  • Experience with AWS (Amazon Web Services) or GCP (Google Cloud Platform) tools
  • Experience with deep learning APIs such as TensorFlow or PyTorch


Pandora is committed to diversity in its workforce. Pandora is an equal employment employer and considers qualified applicants without regard to gender, sexual orientation, gender identity, race, ethnicity, veteran or disability status. Women and people of color are encouraged to apply.

Pandora is also a VEVRAA federal contractor. Pandora requests priority referrals of protected veterans from each ESDS, as required by regulation.

If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to disability@pandora.com. This email box is designed to assist job seekers who require a reasonable accommodation to the application process. A response to your request may take up to two business days.

In Your Email, Please Include The Following

The specific accommodation requested to complete the employment application process.

The location or office to which you would like to apply.

The subject of the email should read "Request for Reasonable Accommodation".