Senior Data Scientist — GenAI & Personalization (Hybrid)

Capgemini; Westlake, Burlington, Durham (TX, MA, NC); Hybrid; USD 80,000 - 106,000; Full time

Benefits offered by this job

Flexible work

Healthcare benefits

401(k) and matching

Job summary

Capgemini in Westlake, TX (Day One onsite - Hybrid) seeks a Senior Data Scientist to lead AI-powered solutions across customer engagement, personalization, and optimization. You will apply predictive modeling, recommender systems, and GenAI to deliver measurable business outcomes.

Required are advanced degrees in CS/DS/OR/stats, 5+ years in AI/ML, and strong Python/SQL/MLOps skills. The role emphasizes governance, deployment, and collaboration with business teams.

Qualifications

• Strong hands-on experience building predictive ML models, recommender systems, ranking models and prescriptive optimization.
• Experience with NLP frameworks (Transformers), GenAI, and LLMs.
• Experience with model evaluation, deployment, governance and scalability.

Responsibilities

• Develop and deploy AI-driven solutions for customer engagement and personalization.
• Solve business problems using AI/ML across multiple use cases.
• Collaborate with business stakeholders and AI researchers to deliver results.
• Evaluate and govern GenAI solutions, including RAG and LLM fine-tuning.

Skills

Predictive modeling

Recommender systems

Ranking models

Prescriptive optimization

Education

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

Tools

Python

SQL

MLOps

Scikit-learn

TensorFlow

PyTorch

Hugging Face

AWS SageMaker

Job description

Capgemini in Westlake, TX (Day One onsite - Hybrid) seeks a Senior Data Scientist to lead AI-powered solutions across customer engagement, personalization, and optimization. You will apply predictive modeling, recommender systems, and GenAI to deliver measurable business outcomes.

Required are advanced degrees in CS/DS/OR/stats, 5+ years in AI/ML, and strong Python/SQL/MLOps skills. The role emphasizes governance, deployment, and collaboration with business teams.