Data Scientist Generative AI

Key Responsibilities

• 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.
• Ability to integrate full machine learning pipeline, including data ingestion, data cleaning and preprocessing, model selection and monitoring.
• Understand the rationale for choosing a specific model, along with when to train, fine-tune or utilize prompt engineering.
• Implement and understand the correct approach to and validate models using relevant datasets and evaluation metrics, including novel approaches in Generative AI.
• Mentor, lead and develop junior staff, including performance appraisals and career pathing.
• Assist in growing data science practice by meeting business goals through client prospecting, responding to proposals, identifying and closing opportunities within identified client accounts.

• 5+ years experience coupled with a Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field
• Deep Learning methods in NLP & Computer Vision, Sentiment analysis, topic modeling and graph theory and databases, Generative AI and LLM.
• Common data science tools such as Python, R, Pytorch, Tensor Flow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, Sage Maker, Data Bricks, Data Robot and H2O.ai)
• Big data distributed programming languages, and ecosystems:
  Spark, Hadoop, Map Reduce, Pig, Kafka
• Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud

• 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

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.

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.