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Cloudreach
  • Atlanta, GA

Big dreams often start small. From an idea in a London pub, we have grown into a global cloud enabler which operates across 7 countries and speak over 30 languages.


Our purpose at Cloudreach is to enable innovation. We do this by helping enterprise customers adopt and harness the power of cloud computing. We believe that the growth of a great business can only be fuelled by great people, so join us in our partnership with AWS, Microsoft and Google and help us  build one of the most disruptive companies in the cloud industry. Its not your average job, because Cloudreach is not your average company.


What does the Cloud Enablement team do?

Our Cloud Enablement team helps provide consultative, architectural, program and engineering support for our customers' journeys to the cloud. The word 'Enablement' was chosen carefully, to encompass the idea that we support and encourage a collaborative approach to Cloud adoption, sharing best practices, helping change the culture of teams and strategic support to ensure success.


How will you spend your days ?

    • Build technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources using open source, AWS, Azure or GCP big data frameworks and services.
    • Work with the product and software team to provide feedback surrounding data-related technical issues and support for data infrastructure needs uncovered during customer engagements / testing.
    • Understand and formulate processing pipelines of large, complex data sets that meet functional / non-functional business requirements.
    • Create and maintain optimal data pipeline architecture
    • Working alongside the Cloud Architect and Cloud Enablement Manager to implement Data Engineering solutions
    • Collaborating with the customers data scientists and data stewards/governors during workshop sessions to uncover more detailed business requirements related to data engineering


What kind of career progression can you expect ?

    • You can grow into a Cloud Data Engineer Lead or a Cloud Data Architect
    • There are opportunities for relocation in our other cloudy hubs

How to stand out ?

    • Experience in building scalable end-to-end data ingestion and processing solutions
    • Good understanding of data infrastructure and distributed computing principles
    • Proficient at implementing data processing workflows using Hadoop and frameworks such as Spark and Flink
    • Good understanding of data governance and how regulations can impact data storage and processing solutions such as GDPR and PCI
    • Ability to identify and select the right tools for a given problem, such as knowing when to use a relational or non-relational database
    • Working knowledge of non-relational and row/columnar based relational databases
    • Experience with Machine Learning toolkits
    • Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala
    • This position requires travel up to 70% (M-F) any given week, with an average of 50% per year


What are our cloudy perks?

      A M
    • a
        c
      • Book Pro and iphone or google pixel (your pick!)
      • Unique cloudy culture -- we work hard and play hard
      • Uncapped holidays and your birthday off
      • World-class training and career development opportunities through our own Cloudy University
      • Centrally-located offices
      • Fully stocked kitchen and team cloudy lunches, taking over a restaurant or two every Friday
      • Office amenities like pool tables and Xbox on the big screen TV
      • Working with a collaborative, social team, and growing your skills faster than you will anywhere else
      • Quarterly kick-off events with the opportunity to travel abroad
      • Full benefits and 401k match


    If you want to learn more, check us out on Glassdoor. Not if. When will you join Cloudreach?

Cloudreach
  • Atlanta, GA

Big dreams often start small. From an idea in a London pub, we have grown into a global cloud enabler which operates across 7 countries and speak over 30 languages.


Our purpose at Cloudreach is to enable innovation. We do this by helping enterprise customers adopt and harness the power of cloud computing. We believe that the growth of a great business can only be fueled by great people, so join us in our partnership with AWS, Microsoft and Google and help us build one of the most disruptive companies in the cloud industry. Its not your average job, because Cloudreach is not your average company.


Mission:

The purpose of a Cloud Data Architect is to design solution that enable data scientists and analysts to gain insights into data using data-driven cloud based services and infrastructures. At Cloudreach, they will be subject matter experts and will be responsible for the stakeholder management and technical leadership for data ingestion and processing engagements. A good understanding of cloud platforms and prior experience working with big data tooling and frameworks is required.


What will you do at Cloudreach?

  • Build technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources using open source, AWS, Azure or GCP big data frameworks and services.
  • Work with the product and software team to provide feedback surrounding data-related technical issues and support for data infrastructure needs uncovered during customer engagements / testing.
  • Understand and formulate processing pipelines of large, complex data sets that meet functional / non-functional business requirements.
  • Create and maintain optimal data pipeline architecture
  • Working alongside Cloud Data Engineers, Cloud System Developers and Cloud Enablement Manager to implement Data Engineering solutions
  • Collaborating with the customers data scientists and data stewards during workshop sessions to uncover more detailed business requirements related to data engineering
  • This position requires travel up to 70% (M-F) any given week, with an average of 50% per year


What do we look for?

The Cloud Data Architect has extensive experience working with big data tools and supporting cloud services, a pragmatic mindset focused on translating functional and non-functional requirements into viable architectures, and ideally a consultancy background, leading a highly skilled team on engagements that implement complex and innovative data solutions for clients.


In addition, the Cloud Data Architect thrives in a collaborative and agile environment with an ability to learn new concepts easily.


  • Technical
      skills:
  • Exper
    • ience in building scalable end-to-end data ingestion and processing solutions Good
    • understanding of data infrastructure and distributed computing principles Profi
    • cient at implementing data processing workflows using Hadoop and frameworks such as Spark and Flink Good
    • understanding of data governance and how regulations can impact data storage and processing solutions such as GDPR and PCI Abili
    • ty to identify and select the right tools for a given problem, such as knowing when to use a relational or non-relational database Worki
    • ng knowledge of non-relational and row/columnar based relational databases Exper
    • ience with Machine Learning toolkits Exper
    • ience with object-oriented and/or functional programming languages, such as Python, Java and Scala
    • Demonstrable working experience
      • A successful history of manipulating, processing and extracting value from large disconnected datasets
      • Delivering production scale data engineering solutions leveraging one or more cloud services
      • Confidently taking responsibility for the technical output of a project
      • Ability to quickly pick up new skills and learn on the job
      • Comfortably working with various stakeholders such as data scientists, architects and other developers
    • Solid communication skills: You can clearly articulate the vision and confidently communicate with all stakeholder levels: Cloudreach, Customer, 3rd Parties and Partners - both verbal and written. You are able to identify core messages and act quickly and appropriately.


    What are our cloudy perks?

    • A MacBook Pro and smartphone.
    • Unique cloudy culture -- we work hard and play hard.
    • Uncapped holidays and your birthday off.
    • World-class training and career development opportunities through our own Cloudy University.
    • Centrally-located offices.
    • Fully stocked kitchen and team cloudy lunches, taking over a restaurant or two every Friday.
    • Office amenities like pool tables and Xbox on the big screen TV.
    • Working with a collaborative, social team, and growing your skills faster than you will anywhere else.
    • Full benefits and 401k match.
    • Kick-off events at cool locations throughout the country.
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
R1 RCM
  • Salt Lake City, UT

Healthcare is at an inflection point. Businesses are quickly evolving, and new technologies are reshaping the healthcare experience. We are R1 - a revenue cycle management company that is passionate about simplifying the patient experience, removing the paperwork hassle and demystifying financial obligations. Our success enables our healthcare clients to focus on what matters most - providing excellent clinical care.

Great people make great companies and we are looking for a great Lead Software Engineer to join our team in Murray, UT. Our approach to building software is disciplined and quality-focused with an emphasis on creativity, craftsmanship and commitment. We are looking for smart, quality-minded individuals who want to be a part of a high functioning, dynamic team. We believe in treating people fairly and your compensation should reflect that. Bring your passion for software engineering and help us disrupt ourselves as we build the next generation healthcare revenue cycle management products and platforms. Now is the right time to join R1!

We are seeking a highly experienced Lead Platform Engineer to join our team. The lead platform engineer will be responsible for building and maintaining real time, scalable, and resilient platform for product teams and developers. This role will be responsible for performing and supervising design, development and implementation of platform services, tools and frameworks. You will work with other software architects, software engineers, quality engineers, and other team members to design and build platform services. You will also provide technical mentorship to software engineers/developers and related groups.      


Responsibilities:


  • Be responsible for designing and developing software solutions with engineering mindset
  • Ensures SOLID principles and standard design patterns are applied across the organization to system architectures and implementations
  • Acts as a technical subject matter expert: helping fellow engineers, demonstrating technical expertise and engage in solving problems
  • Collaborate with stakeholders to help set and document technical standards
  • Evaluates, understands and recommends new technology, languages or development practices that have benefits for implementing.
  • Participate in and/or lead technical development design sessions to formulate technical designs that minimize maintenance, maximize code reuse and minimize testing time

Required Qualifications:


  • 8+ years experience in building scalable, highly available, distributed solutions and services
  • 4+ experience in middleware technologies: Enterprise Service Bus (ESB), Message Queuing (MQ), Routing, Service Orchestration, Integration, Security, API Management, Gateways
  • Significant experience in RESTful API architectures, specifications and implementations
  • Working knowledge of progressive development processes like scrum, XP, Kanban, TDD, BDD and continuous delivery using Jenkins
  • Significant experience working with most of the following technologies/languages: Java, C#, SQL, Python, Ruby, PowerShell, .NET/Core, WebAPI, Web Sockets, Swagger, JSON, REST, GIT
  • Hand-on experience in micro-services architecture, Kubernetes, Docker
  • Familiarity with Middleware platform Software AG WebMethods is a plus
  • Concept understanding on Cloud platforms, BIG Data, Machine Learning is a major plus
  • Knowledge of the healthcare revenue cycle, EMRs, practice management systems, FHIR, HL7 and HIPAA is a major plus


Desired Qualifications:


  • Strong sense of ownership and accountability for delivering well designed, high quality enterprise software on schedule
  • Prolific learner, willing to refactor your understanding of emerging patterns, practices and processes as much as you refactor your code
  • Ability to articulate and illustrate software complexities to others (both technical and non-technical audiences)
  • Friendly attitude and available to mentor others, communicating what you know in an encouraging and humble way
  • Continuous Learner


Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions.  Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.


Our associates are given valuable opportunities to contribute, to innovative and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package.  To learn more, visit: r1rcm.com

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.
Glocomms
  • Dallas, TX

Data Scientist
Dallas, TX
Investment Bank
Compensation: $160,000-$190,000

(Unlimited PTO, Remote Work Options, Daily Catered Lunches)

Do you enjoy solving challenging puzzles? Protecting critical networks from cyber-attacks? Our Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. We are is leading threat, risk analysis and data science initiatives that are helping to protect the firm and our clients from information and cyber security risks. Our team equips the firm with the knowledge and tools to measure risk, identify and mitigate threats and protect against unauthorized disclosure of confidential information for our clients, internal business functions, and our extended supply chain.

You will be responsible for:
Designing and integrating state-of-the-art technical solutions? A position as a Security Analyst on our Threat Management Center
Applying statistical methodology, machine learning, and Big Data analytics for network modelling, anomaly detection, forensics, and risk management.
Creating innovative methodologies for extracting key parameters from big data coming from various sensors.
Utilize machine learning, statistical data analytics, and predictive analytics to help implement analytics tied to cyber security and hunting methodologies and applications
Designing, developing, testing, and delivering complex analytics in a range of programming environments on large data sets

Minimum Qualifications:
6+ years industry experience focused on Data Science
Hands-on experience in Cyber Security Analytics
Proficient coding capability in at least one of the major programming languages such as Python, R, Java
Proficient in data analysis, model building and data mining
Solid foundation in natural language processing and machine learning
Significant experience with deep learning

Preferred Qualifications
Strong interpersonal, communication and communication skills
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Experience with knowledge management best practices
Penchant to learn about new technology innovation and creativity in applying to business problems

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
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.
Brain Corporation
  • San Diego, CA
Brain Corp is a San Diego-based AI company that specializes in the development of self-driving technology. Our AI tech represents the next generation of artificial brains for robots - it enables machines to perceive, learn, and navigate complex environments, while avoiding people and obstacles. We partner with commercial equipment manufacturers, and global consumer electronics brands, to transform their products into self-driving robots.
We are looking for candidates with advanced knowledge in the fields of machine learning and adaptive data processing.
As a core member of our AI Division, you will work with our world-class team of engineers and scientists to build a platform for the next generation of intelligent machines. Your experience will be pivotal in advancing our mission: safe and reliable robots everywhere.
What You Need
    • MS or PhD Degree in Computer Science, Software Engineering or a related field
    • Strong experience with classification and regression algorithms
    • Strong experience in machine learning techniques (unsupervised, supervised, reinforcement, demonstration) and optimization algorithms
    • Strong coding skills Python and/or C++ in Linux environment
    • Extensive experience converting publications to actual implementations

Things that make the difference
    • 2+ years experience (industry experience preferred)
    • Experience in deep neural network packages (e.g. TensorFlow, Theano)
    • Experience designing and developing robotic systems using a robotic middleware (such as ROS), and existing libraries and tools
    • Track record of research excellence or/and experience converting publications to actual implementations
    • Experience with continuous integration, deployment and release management tools
    • Experience with Agile and Scrum methodology
    • Proven system integration and software architecture skills
    • Experience launching products containing machine learning algorithms

This position is located in our San Diego headquarters and reports to the VP of Engineering & AI.
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

Novartis Institutes for BioMedical Research
  • Cambridge, MA

20 years of untapped data waiting for a new Principle Scientific Computing Engineer/Scientific Programmer, Imaging and Machine Learning to unlock the next breakthrough in innovative medicines for patients in need. You will be at the forefront of life sciences, tackling some incredible challenges that are curing diseases and improving patients’ lives.

Your responsibilities include, but are not limited to: 
Collaborating with scientists to create, optimize and accelerate workflows through the application of High Performance Computing Techniques. You will integrate algorithm and application development with state of the art technologies to create scalable platforms that accelerate scientific research in a reproducible and standardized manner.

Key responsibilities:
• Collaborate with scientists and Research IT peers to provide consulting services around parallel algorithm development and workflow optimization for the High Performance Computing (HPC) platform.
• Teaching and training the NIBR Scientific and Informatics community in areas of expertise
• Research, develop and integrate new technologies and computational approaches to enhance and accelerate scientific research.
• Establish and maintain the technical partnership with one or more scientific functions in NIBR.




Minimum Requirements


What you will bring to this role:
• BSc in computer science or related field; or equivalent experience with 
• 5 years minimum relevant experience including strong competencies in data structures, algorithms, and software design
• Experience with High Performance Computing and Cloud Computing
• Demonstrated proficiency in Python, C, C++, CUDA or OpenCL
• Demonstrated proficiency in Signal Processing, Advanced Imaging and Microscopy techniques.
• Solid project management skills and process analysis skills
• Demonstration of strong collaboration skills, effective communication skills, and creative problem-solving abilities

Preferred Qualifications
• MSc degree
• Demonstrated proficiency in 2 or more advanced machine learning frameworks and their application to natural language processing, action recognition-micro and macro tracking.
• Demonstrated proficiency in Signal Processing, Advanced Imaging and Microscopy techniques.
• Interest in drug discovery and knowledge of the life science is a strong plus
• Knowledge of Deep visualization, Deep transfer learning and Generative Adversarial Networks is a plus.
• Demonstrated proficiency in MPI in a large-scale Linux HPC environment
• Experience with CellProfiler, Matlab, ImageJ and R is a plus.

Position will be filled commensurate with experience

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.

FlixBus
  • München, Germany

We're looking for a motivated and driven Data Scientist (m/f/d) who will help us shape our team, drive the company to the next level, and have the most direct influence on our success.


Your Tasks – Paint the world green



  • You analyse our data and prototype systems and algorithms for customer relationship management and customer behaviour modelling

  • You use statistical models to answer real-life questions such as

    • “Is departure time more important than trip duration?”

    • “What are the effects of a marketing campaign on customer demand?”

    • “Are robots better at making advertisement texts than human?”



  • You work closely with our marketing department, business intelligence and product development teams on solutions for data-driven decision making

  • You solve our complex business challenges with creative insights


Your Profile – Ready to hop on board



  • Experience as a Data Scientist or a relevant role

  • Hands-on experience with various machine learning algorithms, statistics and algorithm design

  • Fluency in at least one high-level programming language (Python, Scala, R, etc)

  • Data visualization skills

  • Working knowledge of relational and NoSQL databases, Big data tools (Spark, Hadoop, etc) 

  • Experience with deep learning is a plus

  • Working knowledge of search engine optimization and marketing, web analytics, customer relationship management is a plus

KI labs GmbH
  • München, Germany
  • Salary: €70k - 95k

About Us


At KI labs we design and build state of the art software and data products and solutions for the major brands of Germany and Europe. We aim to push the status quo of technology in corporations, with special focus areas of software, data and culture. Inside, we are a team of software developers, designers, product managers and data scientists, who are passionate about building the products of future today. We believe in open-source and independent teams, follow Agile practices, lean startup method and aim to share this culture with our clients. We are mainly located in Munich and recently Lisbon.


Your Responsibilities



  • Lead and manage a team of talented Data Engineers and Data Scientists in a diverse environment.

  • Ensure success of your team members and foster their career growth.

  • Ensure that the technology stacks, infrastructure, software architecture and development methods we use provide for an efficient project delivery and sustainable company growth.

  • Use your extensive practical expertise to help teams design, build and scale efficient and elegant data products on cloud computing platforms such as AWS, Azure, or Google Cloud Platform.

  • Enable and facilitate a data-driven culture for internal and external clients, and use advanced data pipelines to generate insights;


Skills and qualifications



  • Advanced degree in Computer Science, Engineering, Data Science, Applied Mathematics, Statistics or related fields;

  • Substantial practical experience in software and data engineering.

  • You are an authentic leader, keen on leading by example rather than by direct top-down management;

  • You are committed to operational excellence and to facilitating team communication and collaboration on a daily basis.

  • You like to see the big picture and you have a deep understanding of the building blocks of large-scale data architectures and pipelines.

  • You have passion for data, be it at crunching, transforming or visualising large data streams;

  • You have working knowledge of programming languages such as Python, Java, Scala, or Go

  • You have working knowledge of modern big data tooling and frameworks (Hadoop, Spark, Flink, Kafka, etc.), data storage systems, analytics tools, and ideally machine learning platforms.


Why work with us



  • You will have an opportunity to be at the frontline of innovation together with our prominent clients, influencing the car you drive in five years, the services you have on your flight, and the way you pay for your morning coffee.

  • Working closely with our leadership team, you will have a real chance to influence what our quickly growing company looks like in 3 years.

  • You get a challenging working environment located in the center of Munich and Lisbon and an ambitious team of individuals with unique backgrounds and expertise.

  • You get the chance to work on various interesting projects in short time frames; we do not do work on maintenance or linear projects.

  • We have an open-door work culture where ideas and initiatives are encouraged.

  • We offer a performance-based competitive salary.

Epidemic Sound AB
  • Stockholm, Sweden

At Epidemic Sound we are reinventing the music industry. Our carefully curated music library, with over 30,000 tracks, is tailored for storytellers no matter what their story is. Countless customers around the world, from broadcasters, productions companies and YouTubers rely on our tracks to help them tell their stories. Epidemic Sound’s music is heard in hundreds of thousands of videos on online video platforms such as YouTube, Facebook, Twitch and Instagram. Our HQ is located in Stockholm with offices in NYC, LA, Hamburg, Amsterdam and Madrid. We are growing fast, we have lots of fun and we are transforming the music industry.


We are now looking for a Software Engineer!


Job description


In addition to the hundred of thousands of storytellers using our products, our music is heard tens of billions of times every month across Youtube, social media & music streaming platforms. We want to make maximum use of all this data to generate insights and enable data driven decisions both in our product development and for our musicians and business stakeholders.


As such, we are now looking to grow our Data Infrastructure Team with an experienced software engineer to help us design, develop and evolve our platform and products.


You can expect to:



  • Collaborate with our product-oriented teams during data-related projects to achieve reliable and scalable solutions

  • Design, develop and evolve the data pipelines that fuel our back-end services, machine learning platform and business intelligence systems.

  • Contribute to all stages of the product life-cycle: Design, implementation, testing, releasing and maintenance

  • Work in a lightweight agile process where we regularly evaluate how we work and try to improve

  • Collaborate constantly: We’re big believers in teamwork and the value of practices like careful code reviews, pair (or mob) programming etc

  • Learn a ton of new things: Be it through hack-days, courses, conferences or tech-talks, we emphasize learning and we also expect you to share your knowledge with your colleagues

  • Have fun and take a lot of pride in what you and all of Epidemic Sound is doing


What are we looking for?



  • You have a great understanding of modern web architectures, distributed systems, data processing and storage solutions

  • You have strong knowledge of relational databases and SQL

  • You are able to find opportunities for data acquisition and new uses for existing data

  • You enjoy working with multiple stakeholders and feel comfortable prioritizing internal and external requirements

  • You love teamwork

  • You speak English with professional working proficiency (Swedish is not a requirement)


It would also be music to our ears if:



  • You have experience in one or more of the following: Python, AWS ecosystem, Google Cloud Platform

  • You have experience working with data processing and querying engines such as Spark Hadoop, BigQuery or Kafka

  • You have experience with multiple storage solutions such as columnar oriented databases, NoSQL or Graph databases


Application


Do you want to be a part of our fantastic team? Send us your cover letter and CV as soon as possible - interviews are held continuously. We look forward hearing from you!