Senior Data Scientist - GenAI & Cloud Platform (Remote)

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

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.