Master's or Ph.D. in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or related field
5+ years of experience in AI, Machine Learning, Data Science, or Advanced Analytics
Proficient in unsupervised/supervised machine learning, predictive modeling, and recommender systems
Experience with advanced NLP frameworks and GenAI solutions
Skilled in formulating and solving optimization problems
Knowledgeable in model evaluation, tuning, and deployment
Strong communication skills for both technical and business audiences
Responsibilities
Develop and deploy AI-driven solutions for customer engagement and personalization
Leverage advanced AI/ML tools to address various business challenges
Collaborate with business stakeholders to drive meaningful outcomes
Conduct multidisciplinary AI research and development
Utilize diverse data sources for innovative problem-solving
Benefits
Flexible work arrangements
Comprehensive healthcare including dental, vision, and mental health programs
Financial well-being programs like 401(k) and Employee Share Ownership Plan
Generous paid time off and holidays
Paid parental leave and family building benefits
Social well-being support including subsidized child/elder care
Access to mentoring, coaching, and learning programs
Participation in Employee Resource Groups
Disaster relief assistance
Full Job Description
Job Location - Westlake TX / Burlington MA / Durham NC (Day One Onsite - Hybrid)
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.
We seek applicants from all areas of computer science, machine learning, data mining, optimization and related technical fields with a passion and demonstrated ability for delivering AI-powered solutions that drive meaningful customer and business outcomes.
The Value You Deliver As part of a high-caliber team of researchers and practitioners, you will work closely with business stakeholders and leverage advanced AI/ML tools and platforms to solve a variety of business problems.
You will be responsible for developing and deploying AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization and customer insights.
Required Skills
Master's or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline
5+ years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields
Experience in unsupervised and supervised machine learning, predictive modeling, propensity models, recommender systems, deep learning, graph-based learning techniques
Experience working with advanced NLP frameworks (Transformers, etc.), GenAI solutions, and LLMs
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
Must Have Skills
Strong hands-on experience building predictive machine learning models, recommender systems, ranking models, and prescriptive optimization models
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 skills
Experience in applying ML, DL, Econometric and Foundation Models for time series forecasting
Experience working with knowledge graph, graph-based learning approaches
Experience in constraint/mathematical programming, optimization packages and solvers (IBM ILOG CPLEX, Gurobi, Google OR-Tools, etc.)
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 leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
