Capgemini
Lead Data Scientist
Brooklyn, NY, US · Senior · Full-time
Sponsorship not specified$111k-$145kDetected 1 day ago
PythonSQLAWSMachine LearningDeep LearningTensorFlowPyTorchscikit-learnData ScienceNLPLLMsRAGAgentic AIMLOpsStatisticsA/B TestingAccessibilityForecastingResearchCommunicationMentoring
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- We are looking for a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems.
- It offers an exciting environment for multidisciplinary AI research and development with access to a diverse set of data sources.
- 10+ years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields
Responsibilities
- Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
- Capgemini supports all aspects of your well-being throughout the changing stages of your life and career.
Requirements
- Master's or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline
- Experience in formulating and solving optimization problems
- Knowledge of model evaluation, tuning, performance measurement, deployment and solution scalability
- Strong verbal/written communication and presentation skills, including the ability to effectively communicate with both business and technical teams
- Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.)
- Expertise across the AI/ML lifecycle, including experimentation, A/B testing, feature engineering, model development, deployment, monitoring, measurement, and governance
- Experience evaluating, deploying, and governing GenAI solutions, including RAG, knowledge retrieval, agentic AI workflows, LLM Finetuning, LLM evaluation frameworks
Nice to have
- Experience in applying ML, DL, Econometric and Foundation Models for time series forecasting
Skills
- Experience working with advanced NLP frameworks (Transformers, etc.), GenAI solutions, and LLMs
- Experience in constraint/mathematical programming, optimization packages and solvers (IBM ILOG CPLEX, Gurobi, Google OR-Tools, etc.)
Compensation
- $111k-$145k
Benefits
- Healthcare including dental, vision, mental health, and well-being programs
- 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
Company info
- For eligible employees, we offer:
Equal opportunity
- Equal Opportunity Employer encouraging diversity in the workplace.
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This listing is sourced directly from Capgemini's careers page and normalized into a canonical job model.