Lead Data Scientist

Capgemini; Irving (TX); Hybrid; USD 111,000 - 145,000; Full time

Benefits offered by this job

Healthcare

401(k)

Paid time off

Job summary

Capgemini seeks a Lead Data Scientist to advance predictive modeling, personalization, recommender systems and optimization, including GenAI and responsible AI practices. You will join a multidisciplinary AI team with access to diverse data sources to deliver AI-powered solutions.

You will work with business stakeholders to develop and deploy AI-driven solutions across customer engagement, personalization, recommendations, decision optimization and customer insights using modern ML tools and

Qualifications

• Master's or Ph.D. in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or related field
• 10+ years in AI/ML/Data Science/Analytics or related technical fields
• Experience in supervised/unsupervised learning, predictive modeling, recommender systems, deep learning
• Experience with NLP frameworks (Transformers), GenAI, and LLMs
• Experience formulating and solving optimization problems
• Knowledge of model evaluation, tuning, deployment, scalability
• Strong communication and stakeholder collaboration skills

Responsibilities

• Develop and deploy AI-driven solutions across use cases such as customer engagement, personalization, recommendations, decision optimization and insights
• Collaborate with business stakeholders and researchers to translate needs into AI capabilities
• Apply advanced AI/ML tools and platforms to deliver measurable customer and business outcomes

Skills

Predictive modeling

Recommender systems

GenAI & LLMs

NLP frameworks

Optimization

Education

Master's or Ph.D. in CS/DS/OR/Statistics

Tools

Python

SQL

ML frameworks

MLOps

AWS SageMaker

Job description

Location – Westlake TX / Durham NC / Burlington MA (Day One Onsite, Hybrid)

About The Role

• We are looking for a Lead 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
• 10+ 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.)

Key Skills

• Python, SQL, MLOps, and modern AI/ML development frameworks, AI/ML lifecycle, GenAI solutions including RAG, agentic AI workflows, LLM evaluation frameworks

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:

• 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

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.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Salary Transparency

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 to $145000 /yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.