Senior Data Scientist

Capgemini; United States; Remote; USD 140,000 - 220,000; Full time

Job summary

Capgemini Engineering, a world leader in engineering services, is seeking an experienced ML Engineer with production forecasting and GenAI skills to join a global delivery team. You will work across Azure Databricks, Python, and advanced ML frameworks to drive real-world impact.

The role emphasizes building scalable models, explaining decisions with SHAP, and collaborating with stakeholders to translate data insights into business value. Remote-friendly environment with global project exposure.

Qualifications

• Experience applying ML to forecasting and classification tasks in production or enterprise projects.
• Strong SQL skills including complex joins, CTEs, and window functions.
• Hands-on experience with GenAI products and large language model APIs at scale.
• Proficiency with Azure Databricks and cloud platforms (GCP/AWS) for ML pipelines.

Skills

SQL

Python

PySpark

Forecasting

Classification

XGBoost/LightGBM

SHAP

GenAI

LLM APIs

Tools

Azure Databricks

GCP Vertex

AWS SageMaker

Claude Code

Codex

Cursor

Job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.

Job Description

Your Role:

Must-have: Core ML

• Strong SQL: complex joins, CTEs, window functions, and query performance tuning.
• Strong Python.
• PySpark or similar.
• Real forecasting and classification work (demand forecasts, lead scoring, propensity) in production or serious projects. Coursework does not count.
• XGBoost and/or LightGBM in production.
• SHAP to explain and debug models for non-technical stakeholders.

Must-have: GenAI / Agentic

• Hands-on agentic coding with Claude Code, Codex, or Cursor.
• Has built (not only advised on) GenAI products: RAG, vector search, agents with tool use.
• LLM APIs at scale: batch or async jobs with thousands of calls (data labeling, metadata extraction from text), not one-off prompts.

Must-have: Platform

• Azure and/or Databricks (both preferred).
• Strong GCP/Vertex or AWS/SageMaker experience is acceptable.

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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.