Data Science Manager

The AI & Analytics practice group at Capgemini is expanding its footprint rapidly.

As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail, Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.

The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation.

As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems.

If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career.

Role & Responsibilities: Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data Provide guidance on engagements to ensure successful delivery while balancing internal initiatives Contribute to thought leadership and facilitate client relations across network of existing and potential clients.

Participate in client discussions, interact with CxOs at client organization to articulate the value of data science approaches, different AI service offerings and guide them on implementation of the same.

Quickly understand client needs, scope of work effort, assemble teams, manage delivery, and articulate findings to client executives Mentor, lead and develop junior staff, including performance appraisals and career pathing Review and analyze developed models for complete, robustness and meeting of client needs Assist in growing data science practice by meeting business goals through client prospecting, responding to proposals, identifying and closing opportunities within identified client accounts.

Qualifications 6 years professional work experience as a data scientist or on advanced analytics / statistics projects with 5 years’ experience in one of the following sectors: : Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.

Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field Graph Theory work, potentially NEO4J Strong mathematics skill Design databases and run math models in the database to calculate relationship strengths Excellent team-oriented and interpersonal skills, with a strong interest for consulting Outstanding communication skills with the ability to clearly articulate findings and present solutions to business partners Preferred Qualifications Experience with Deep Learning methods in NLP & Computer Vision, Sentiment analysis, topic modeling and graph theory and databases Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai) Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud Knowledge of other coding languages such as Java, Matlab, SAS, C Experience with building and deploying predictive and prescriptive analytics models Experience with conflicts resolution and people influence techniques We Offer Full medical, dental, vision, dental plans AND life insurance (they begin day one) Seven company-paid holidays 2 personal days _(determined by when you begin)_ 401(K) that you can participate in day one
– fully vested after 12 months Ten sick days per year for your own illness or for family needs Long
– and short-term disability Employee Assistance programs and Employee Assistance Programs Maternity & Paternity Leave Adoption Assistance Education Expense Reimbursement Commuter Benefits Flexible Spending Accounts, Adoption Assistance Perks at Work Back up Child and Adult/Elder Care Job: _Business Analyst_ Organization: _I&D_ Title: _Data Science Manager_ Location: _IL-Chicago_ Requisition ID: _055616_ Other Locations: _US-OH-Cleveland, US-WA-Seattle, US-OH-Cincinnati, US-TN-Nashville, US-NY-New York, United States, US-TX-Dallas, US-CA-South San Francisco, US-OH-Columbus, US-TX-Austin, US-CA-Los Angeles, US-GA-Atlanta, US-TX-Houston_