OnlyDataJobs.com

Impetus
  • Dallas, TX

    Job description:
    As a Big Data Engineer, you will have the opportunity to make a significant impact, both to our organization and those of our Fortune 500 clients. You will work directly with clients at the intersection of business and technology. You will leverage your experience with Hadoop and software engineering to help our clients use insights gleaned from their data to drive Value.

    You will also be given substantial opportunities to develop and expand your technical skillset with emerging Big Data technologies so you can continually innovate, learn, and hit the gas pedal on your career.



    Responsibilities (but not limited to):
    Implementation of various solutions arising out of the large data processing (GBs/ PBs) over various NoSQL, Hadoop, and MPP-based products
    Active participation in the various Architecture and design calls with Big Data customers
    Working with Sr. Architects and providing implementation details to offshore
    Responsible for timely and quality deliveries
    Practical understanding of Hadoop, Hive and spark.

    1+ years of spark experience.

    Experience: 6 to 12 Years

    Desired Skills and Experience:
    Spark, Hadoop, Java

Turnberry Solutions
  • Philadelphia, PA

TITLE:  Data Scientist

Years of Experience: 7+
Education Required: Bachelors Degree or Equivalent Work Experience

Interview Details:
- Phone Interview
- Face to Face Mandatory - Video Call is not an option


Purpose:
Looking for a Data Scientist who will support operations and data architecture teams with insights gained from analyzing company data. You must be that person who can create value out of data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs. Additionally, they can utilize AI tools to automate certain processes
 
This person must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. This Data Scientist must possess the skill-sets necessary to hit the ground running and must be willing to learn about the mobile phone business while solving problems quickly and efficiently.
 
See Yourself:

  • Working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Position Requirements

Minimum Requirements:
  • Four-year degree in a related Computer Science, Math or Statistical field of study.
  • 7+ continuous years' of professional experience as a Data Scientist.
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • A drive to learn and master new technologies and techniques.
  • Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
  • SUPERB communication skills with an emphasis on writing and interpreting abilities
  • Excellent presentation skills. Must have the ability to confirm complex data into digestible formats for non-technical business teams.
Extended Requirements:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience using web services: Redshift, S3, Spark, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders.
Physical Environment and Working Conditions:
Agile open floor plan
Onsite 5 days a week
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.
Expedia Group - Europe
  • London, UK

Expedia needs YOU!


At Hotels.com (part of the Expedia Group) ensuring that our customers find the perfect hotel is an exciting mission for our technology teams.

We are looking for a Software Development Engineer to join our awesome team of bright minds. We are building Hotels.com's data streaming and ingestion platform, reliably handling many thousands of messages every second.

Our platform enables data producers and consumers to easily share and process information. We have built and continue to improve our platform using open source projects such as: Kafka, Kubernetes and Java Spring, all running in the cloud, and we love contributing our work back to the open source community.


What you'll do:


Are you interested in building a world-class, fast-growing data platform in the cloud?



  • Are you keen to work with and contribute to open source projects?

  • Do you have a real passion for clean code and finding elegant solutions to problems?

  • Are you eager to learn streaming, cloud and big data technologies and keep your skills up to date?

  • If any of those are true... Hotels.com is looking for you!

  • We seek an enthusiastic, experienced and reliable engineer who enjoys getting things done.

  • You should have good communication skills and be equally comfortable clearly explaining technical problems and solutions with analysts, engineers and product managers.

  • We welcome your fresh ideas and approaches as we constantly aim to improve our development methodologies.

  • Our team has experience using a wide range of cutting edge technologies and years of streaming, cloud and big data experience.

  • We are always learning and growing, so we guarantee that you won't be bored with us!


We don’t believe in skill matching against a list of buzzwords…

However we do believe in hiring smart, friendly and creative people, with excellent programming abilities, who are on a journey to mastery through craftsmanship. We believe great developers can learn new technologies quickly and effectively but it wouldn't hurt if you have experience with some of the following (or a passion to learn them):

Technologies:
Kafka, Kubernetes, Spring, AWS, Spark Streaming, Hive, Flink, Docker.

Experience:
Modern core and server side Java (concurrency, streams, reactive, lambdas).
Microservice architecture, design, and standard methodologies with an eye towards scale.
Building and debugging highly scalable performant systems.
Actively contributing to Open Source Software.


What you’ll do:



  • Write clean, efficient, thoroughly tested code, backed-up with pair programming and code reviews.

  • Much of our code is Java, but we use all kinds of languages and frameworks.

  • Be part of an agile team that is continuously learning and improving.

  • Develop scalable and highly-performant distributed systems with everything this entails (availability, monitoring, resiliency).

  • Work with our business partners to flesh out and deliver on requirements in an agile manner.

  • Evolve development standards and practices.

  • Take architectural ownership for various critical components and systems.

  • Proactive problem solving at the organization level.

  • Communicate and document solutions and design decisions.

  • Build bridges between technical teams to enable valuable collaborations.


As a team we love to:



  • Favor clean code, and simple, robust architecture.

  • Openly share knowledge in order to grow and develop our team members.

  • Handle massive petabyte-scale data sets.

  • Host and attend meetups and conferences to present our work. This year we've presented at the

  • Dataworks Summit in Berlin and the Devoxx Conference in London.

  • Contribute to Open Source. In recent years our team created Circus Train, Waggle Dance, BeeJU, CORC, Plunger, Jasvorno and contributed to Confluent, aws-alb-ingress-controller, S3Proxy, Cascading, Hive, HiveRunner, Kafka and Terraform. In addition, we are currently working towards open sourcing our streaming platform.

  • Create an inclusive and fun workplace.


Do all of this in a comfortable, modern office, with a massive roof terrace in great location within central London!


We’ll take your career on a journey that’s flexible and right for you; recognizing and rewarding your achievements:

A conversation around flexible working and what will best fit you is encouraged at Hotels.com.
Competitive salaries and many growth opportunities within the wider global Expedia Group.
Option to attend conferences globally and enrich the technology skills you are passionate about.
Cash and Stock rewards for outstanding performance.
Extensive travel rewards and discounts for all employees, perfect for ticking some destinations off your bucket list!


We believe that a diverse and inclusive workforce, is the most awesome workforce…
We believe in being Different. We seek new ideas, different ways of thinking, diverse backgrounds and approaches, because averages can lie and conformity is dangerous.
Expedia is committed to crafting an inclusive work environment with a diverse workforce. You will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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®.


We’re excited for you to make Expedia an even more awesome place to work!
So what are you waiting for? Apply now and join us on our journey to become the #1 travel company in the world!



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.

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!

PrimeRevenue
  • Atlanta, GA

ARE YOU READY TO WORK AT PRIMEREVENUE?

Do you want to work for a high growth, FinTech company helping other companies innovate, grow and create jobs? Do you enjoy working within an entrepreneurial environment that is mission-driven, results-driven and community oriented? Were looking for a Director of Data Architecture to continue the impressive development of our data enterprise, exposing our customers to the wealth of insights and predictive analytics. The Director will be responsible for design, development, and execution of data product initiatives. This individual will be part of multi-disciplinary team including data architects, BI developers, technical architects, data scientist, engineering, and operational teams for data products.  

WHAT YOU GET TO DO:

    • Design, create, deploy and manage our organization's data architecture
    • Develop and own our Data Product Roadmap
    • Map the systems and interfaces used to manage data, set standards for data management, analyze current state and conceive desired future state, and conceive projects needed to close the gap between current state and future goals
    • Provide a standard common business vocabulary, express strategic data requirements, outline high level integrated designs to meet these requirements, and align with enterprise strategy and related business architecture
    • Set data architecture principles, create models of data that enable the implementation of the intended business architecture
    • Create diagrams showing key data entities, and create an inventory of the data needed to implement the architecture vision
    • Drive all phases of data modelling, from conceptualization to database optimization, including SQL development and any database administration
    • Design ETL architecture



WHAT ARE WE LOOKING FOR?

  • Bachelor's degree in Computer Science or related discipline
  • Minimum 10 years working in data products organization
  • Knowledge of relational and dimensional data modelling
  • Knowledge of RDBMS solution (DB2, Oracle)
  • Excellent SQL skills
  • Experienced in Agile methodologies
  • Deep understanding of Data Management principles
  • Strong oral and written communication skills
  • Strong leadership skills
  • BI tools (Tableau, MicroStrategy)
  • Experience architecting enterprise data lakes in AWS
  • Hands-on experience with Hadoop frameworks/tools such as Kinesis, Glue, Redshift, Spark, Hive, Pig etc
  • Experience with distributions in Amazon EMR
  • Previous work with NoSQL databases such as PostgreSQL, MongoDB


WHO ARE YOU?

SMART, HUNGRY, & HUMBLE PERSONALITY IS A MUST!


WORKING AT PRIMEREVENUE BENEFITS:

    • Professional growth within our company
    • Monthly fun TEAM events
    • Generous benefits package
    • Community Service-Oriented Culture
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

 
TalentBurst, an Inc 5000 company
  • Austin, TX

Position: Hadoop Administrator

Location: Austin, TX

Duration: 12+ months

Interview: Skype

Job Description:
Person will be responsible to work as part of 24x7 shifts (US hours) to provide Hadoop Platform Support and Perform Adminstrative on Production Hadoop clusters.

Must have skills:
3+ yrs. hands-on administration experience on Large Distributed Hadoop System on Linux

Technical Knowledge on YARN, MapReduce, HDFS, HBase, Zookeeper, Pig and Hive

Hands-on Experience as a Linux Sys Admin

Nice to have skills:
Knowledge on Spark and Kafka is a plus / Hadoop Certification is preferred

Roles and responsibilities:
Hadoop cluster set up, performance fine-tuning, monitoring and administration

Skill Requirements:
Minimum 3 yrs. hands-on experience on Large Distributed Hadoop System on Linux.
Strong Technical Knowledge on Hadoop Eco System such as YARN, MapReduce, HDFS, HBase, Zookeeper, Pig and Hive.
Hands on experience in Hadoop cluster set up, performance fine-tuning, monitoring and administration.
Hands-on Experience as a Linux Sys Admin
Knowledge on Spark and Kafka is a plus.
Hadoop Certification is preferred

Impetus
  • Phoenix, AZ

      Multiple Positions I Multiple Locations : Phoenix, AZ/ Tampa, FL

      Emplyment Type :: Full time || Contract


      As a Big Data Engineer, you will have the opportunity to make a significant impact, both to our organization and those of our Fortune 500 clients. You will work directly with clients at the intersection of business and technology. You will leverage your experience with Hadoop and software engineering to help our clients use insights gleaned from their data to drive Value.


      You will also be given substantial opportunities to develop and expand your technical skillset with emerging Big Data technologies so you can continually innovate, learn, and hit the gas pedal on your career.



Required:
  • 4+ years of IT experience
  • Very good experience in Hadoop, Hive, Spark Batch. (Streaming exp is good to have)
  • Good to have experience with 1 NoSQL - HBase/ Cassandra.
  • Experience with Java/J2EE & Web Services, Scala
  • Writing utilities/program to enhance product capability to fulfill specific customer requirement
  • Learning new technology/solution to solve customer problems
  • Provide feedback/learning to product team
Aspirent
  • Atlanta, GA

MUST BE A US CITIZEN


Responsibilities

·       Help to create and deliver project proposals and guide our strategic thinking on offering analytics consulting services to our clients

·       Consult with clients to gain an understanding of the current state of the business area(s), their immediate and long term needs, any KPI goals, and to determine what success looks like

·       Consult heavily with business users and stakeholders to 1) identify, capture and leverage appropriate data sources across areas of the business, and 2) ensure that analytical solutions are tailored to business needs and will support or result in actionable customer strategies, and 3) determine delivery & implementation options

·       Develop & help implement strategic analytical and data mining solutions to understand key business behaviors such as customer acquisition, product up-sell, customer retention, lifetime value, channel preferences, customer satisfaction, and loyalty drivers, etc.

·       Lead analytics and strategy engagements; Provide project-specific guidance to our team members in performing analyses and delivering strategic recommendations; Create and maintain project plans, project schedules, and other project documentation

·       Provide statistical methodology and project management support for commercial deliverables as well as custom studies

Qualifications:  

·       5+ years experience in any of the following areas:

·       Statistical/Data Model development leveraging SAS, Python, and R.

·       Data Mining/Financial Analysis

·       Programming strength in a variety of languages: SQL, C/C++, Java, Python, Perl

  • Optional programming strength in the following Hadoop tools: MapReduce, Pig, Hive, Hbase

Knowledge, Skills, & Abilities:  

·       Strong written/verbal communication and presentation skills

·       The ability to work with all levels of staff & leadership

·       Ability to self-motivate, adapt, and multi-task in a fast-paced environment

·       Regression (linear, multiplicative, logistic, censored, Cox, etc)

·       Test Design/Design of Experiments

·       Segmentation and clustering

·       Decision tree analysis

·       Neural networks, genetic algorithms and other computational methods

·       Mathematical programming and optimization

·       Structural equations modeling

·       Conjoint analysis

·       Time series analysis and forecasting, smoothing techniques

·       Information design, info-graphics, scorecard/dashboard/presentation development

EDUCATION REQUIREMENTS:

·       BA or BS required; MS, MBA or PhD preferred

·       Formal training Economics/Econometrics, Statistics, Operations Research, Finance or Mathematics is a plus, familiarity is necessary.

Freeport-McMoRan
  • Phoenix, AZ

Provide management and leadership to the Big Data project teams. Directs initiatives in the Freeport-McMoRan Big Data program. Provides analytical direction, expertise and support for the Big Data program; this includes project leadership for initiatives, coordination with business subject matter experts and travel to mine sites. This will be a global role that will coordinate with site and corporate stakeholders to ensure global alignment on service and project delivery. The role will also work with business operations management to ensure the program is focusing in areas most beneficial to the company.


  • Work closely with business, engineering and technology teams to develop solution to data-intensive business problems
  • Supervise internal and external science teams
  • Perform quality control of deliverables
  • Prepare reports and presentations, and communicate with Executives
  • Provide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problems
  • Use statistical and programming tools such as R and Python to analyze data and develop machine-learning models
  • Perform other duties as required


Minimum Qualifications


  • Bachelors degree in an analytical field (statistics, mathematics, etc.) and eight (8) years of relevant work experience, OR
  • Masters degree in an analytical field (statistics, mathematics, etc.) and six (6) years of relevant work experience, OR
  • Proven track record of collaborating with business partners to translate business problems and needs into data-based analytical solutions
  • Proficient in predictive modeling:
  • Linear and logistic regression
  • Tree based techniques (CART, Random Forest, Gradient Boosting)
  • Time-Series Analysis
  • Anomaly detection
  • Survival Analysis
  • Strong Experience with SQL/Hive environments
  • Skilled with R and/or Python analysis environments
  • Experience with Big Data tools for machine learning, R, Hive, Python
  • Good communication skills


Preferred Qualifications


  • Doctorate degree in an analytical field
  • Willing and able to travel 20-30% or more


Criteria/Conditions


  • Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English
  • Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards
  • Must be able to work in a potentially stressful environment
  • Position is in busy, non-smoking office located in downtown Phoenix, AZ
  • Location requires mobility in an office environment; each floor is accessible by elevator
  • Occasionally work will be performed in a mine, outdoor or manufacturing plant setting
  • Must be able to frequently sit, stand and walk
  • Must be able to frequently lift and carry up to ten (10) pounds
  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required
  • Freeport-McMoRan promotes a drug/alcohol-free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as allowed by applicable State laws


Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive:


  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose motor vehicles includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.


Equal Opportunity Employer/Protected Veteran/Disability


Requisition ID
1900606 

Freeport-McMoRan
  • Phoenix, AZ

Supports the activities for all Freeport-McMoRan Big Data programs. Provides analytical support and expertise for the Big Data program; this includes coordination with business subject matter experts and travel to mine sites. The role will provide analyses and statistical models as part of Big Data projects, and may be the project lead on analytics initiatives. The role will also provide visualizations and descriptive results of the analysis. This will be a global role that will coordinate with site and corporate stakeholders to ensure alignment on project delivery.


    Work
    • closely with business, engineering and technology teams to analyze data-intensive business problems.
    • Research and develop appropriate statistical methodology to translate these business problems into analytics solutions
    • Perform quality control of deliverables
    • Develop visualizations of results and prepare deliverable reports and presentations, and communicate with business partners
    • Provide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problems
    • Develop, implement and maintain analytical solutions in the Big Data environment
    • Work with onshore and offshore resources to implement and maintain analytical solutions
    • Perform variable selection and other standard modeling tasks
    • Produce model performance metrics
    • Use statistical and programming tools such as R and Python to analyze data and develop machine-learning models
    • Perform other duties as requested


Minimum Qualifications


  • Bachelors degree in an analytical field (statistics, mathematics, etc.) and five (5) years of relevant work experience, OR 
  • Masters degree in an analytical field (statistics, mathematics, etc.) and three (3) years of relevant work experience

  • Proven track record of collaborating with business partners to translate operational problems and needs into data-based analytical solutions

  • Proficient in predictive modeling:

  • Linear and logistic regression

  • Tree based techniques (CART, Random Forest, Gradient Boosting)

  • Time-Series Analysis

  • Anomaly detection

  • Survival Analysis

  • Strong experience with SQL/Hive environments

  • Skilled with R and/or Python analysis environments

  • Experience with Big Data tools for machine learning, R, Hive, Python

  • Good communication skills


Preferred Qualifications


  • Masters degree in an analytical field
  • Willing and able to travel 20-30% or more


Criteria/Conditions


  • Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English
  • Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards

  • Must be able to work in a potentially stressful environment

  • Position is in busy, non-smoking office located in Phoenix, AZ

  • Location requires mobility in an office environment; each floor is accessible by elevator and internal staircase

  • Occasionally work may be performed in a mine, outdoor or manufacturing plant setting

  • Must be able to frequently sit, stand and walk

  • Must be able to frequently lift and carry up to ten (10) pounds

  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required

  • Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as per applicable State Laws


Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive:


  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose motor vehicles includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.


Equal Opportunity Employer/Protected Veteran/Disability


Requisition ID
1900604 

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".
iMoney Group
  • Kuala Lumpur, Malaysia
  • Salary: $84k - 96k

Reporting into the CEO, as iMoney’s Head of Data Science, you will be the guru for the full-suite of data related services supporting the organization, including reporting and business intelligence, data analytics, data science and the overall data infrastructure.



  • Unlock the full potential of the huge amounts of data that has been and is continuously being collected at iMoney

  • Craft the data vision and own, identify and implement the data analytics and data science roadmap for the iMoney Group across all business areas

  • Be the strategic leader and developmental coach for our current data team comprising two data analysts and build out additional data capabilities within the iMoney Group

  • Partner with the different business units and leverage data analytics, insights and science to drive all aspects of the customer conversion funnel including marketing channel attribution and optimization, onsite and offline (call-centre) user behavior and conversion, recommendation engines and product matching, customer segmentation, predictive analysis and propensity modelling

  • Utilize best in class practices with respect to data analytics, visualization, reporting dashboards and data science modelling

  • Establish iMoney as the market leader in the field of data analytics and innovative data science

  • Collaborate with the technology and product teams in continuously enhancing and delivering a robust, efficient and scalable data collection, structuring and warehousing infrastructure


Requirements:



  • Passionate about data and its ability to drive high business impact and growth

  • 10 years of experience in the field of data analytics and data science, including at least 3 years in a leadership role at a scale-up stage digital consumer business such as e-commerce, online lending platforms, digital banks, online financial marketplaces or similar

  • Hands on experience in any of the following tools: R, Python, Knime, SAS, SPSS

  • Clear understanding of databases and extensive knowledge of SQL, AWS Redshift, Hadoop, Hive, Teradata, Google Big Query

  • Experience in implementing and leveraging Tableau for business reporting and intelligence

  • Expertise in applying advanced predictive statistical techniques to develop regression, time-series, segmentation models. Exposure to design of experiments or neural network.

  • Responsibility and Attention to Detail - take responsibility for delivery of precise and accurate business intelligence, data analytics and insights to tight timescales and work to resolve problems when they occur

  • Project management skills - ability to scope out and implement larger data related projects as per business requirements including clear understanding of resource and timing requirements

  • People leadership skills - coaching, inspiring, career counselling, mentoring and capability development of team members and peers

  • Excellent stakeholder management, communication and presentation skills – fluent in English, breaking down complex problems with data-driven solutions and having a service-orientated mindset 

Infosys
  • Houston, TX
Responsibilities

-Hands on experience with Big Data systems, building ETL pipelines, data processing, and analytics tools
-Understanding of data structures & common methods in data transformation.
-Familiar with the concepts of dimensional modeling.
-Sound knowledge of one programming language - Python or Java
-Programming experience using tools such as Hadoop and Spark.
-Strong proficiency in using query languages such as SQL, Hive and SparkSQL
-Experience in Kafka & Scala would be a plus

Impetus
  • Phoenix, AZ

      Multiple Positions I Multiple Locations : Phoenix, AZ/ Richmond, VA/ Tampa, FL

      Emplyment Type :: Full time || Contract


      As a Big Data Engineer, you will have the opportunity to make a significant impact, both to our organization and those of our Fortune 500 clients. You will work directly with clients at the intersection of business and technology. You will leverage your experience with Hadoop and software engineering to help our clients use insights gleaned from their data to drive Value.


      You will also be given substantial opportunities to develop and expand your technical skillset with emerging Big Data technologies so you can continually innovate, learn, and hit the gas pedal on your career.



Required:
  • 4+ years of IT experience
  • Very good experience in Hadoop, Hive, Spark Batch. (Streaming exp is good to have)
  • Good to have experience with 1 NoSQL - HBase/ Cassandra.
  • Experience with Java/J2EE & Web Services, Scala/ Python is good to have
  • AWS (ETL implementation with AWS on Hadoop) good to have
  • Writing utilities/program to enhance product capability to fulfill specific customer requirement
  • Learning new technology/solution to solve customer problems
  • Provide feedback/learning to product team


Soft Skills:

    A team player who understands the roles and responsibilities of all the team members and facilitates a one team culture
    Strong communication skills both verbal and written
    Quick learner who can work independently on the tasks assigned after initial hand holding