Senior Data Analyst - Sr. Data Scientist

Company:

Capgemini

Location:

Cityplace, TX, 75204

Posted:

May 17, 2024

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Description:

Job Title: Senior Data Scientist

Job Location: Hybrid (preferred base cities - Atlanta, NYC, Dallas, Houston, Chicago, San Fran, and Seattle)

Job description: The Senior Data Scientist will 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.

Key Responsibilities:

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.

Required Skills:

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

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

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

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.