Senior Data Scientist

Capgemini is seeking a Senior Data Scientist to take a senior leadership role for an Infrastructure Intelligence and Analytics platform. This position operates during offshore hours and supports production operations, pipeline reliability, cost optimization, and the day-to-day enablement of an offshore platform engineering team.

Based in Chicago, IL and working onsite, this role combines technical ownership of production support with hands-on data and infrastructure responsibilities, spanning monitoring, incident management, automation, and collaboration across onshore teams.

Role overview

• Serve as the primary offshore owner for production support, incident management, and overall platform availability.
• Ensure production readiness and continuity for an Infrastructure Intelligence and Analytics platform during offshore hours.
• Mentor an offshore platform engineering team by establishing operational standards, runbooks, and support procedures.

Responsibilities

• Monitor and maintain data pipelines to support data quality, freshness, and timely availability for AI agents and analytics systems.
• Troubleshoot and resolve infrastructure, application, and data issues independently, with minimal escalation.
• Build and manage dashboards for system health, operational monitoring, and AWS/cloud cost tracking.
• Optimize AWS infrastructure usage, including AI token consumption, storage, and compute costs.
• Develop automation tools, scripts, small services, and integration solutions, primarily using Python.
• Collaborate with onshore platform, data engineering, and data science teams to support seamless operations and handoffs.
• Contribute to infrastructure architecture and operational strategy.

Required qualifications

• AWS expertise with hands-on familiarity across EC2, S3, IAM, VPC, Glue, Athena, EMR, CloudWatch, and Secrets Manager.
• Experience with Terraform (preferred), plus CloudFormation, Docker, Linux, CI/CD, and Git-based development.
• Strong background in production support, monitoring, incident response, and cost optimization.
• Proficiency in Python for automation, tooling, and application development.
• Knowledge of data pipelines, REST APIs, cloud SDKs (boto3), testing frameworks, and software engineering best practices.
• Demonstrated leadership experience, with the ability to make independent technical decisions.
• Relevant AWS certifications.

Preferred qualifications

• Experience with Spark, Kafka, Airflow, graph databases (Neptune/Neo4j), and AI/ML infrastructure.
• Familiarity with LLM/agent deployment, observability, and telecommunications environments.
• Experience developing production APIs/services using FastAPI or Flask.

Education and experience

• Bachelor’s degree (or equivalent experience) in Computer Science, IT, Systems Engineering, or a related field.
• 8+ years of platform/infrastructure engineering experience with a bachelor’s degree (including 2+ years in a lead role), or 6+ years with a master’s degree.

Technology stack

• AWS, EC2, S3, IAM, VPC, Glue, Athena, EMR, CloudWatch, Secrets Manager
• Terraform, CloudFormation, Docker, Linux, CI/CD, Git
• Python, REST APIs, boto3
• Spark, Kafka, Airflow
• Graph databases (Neptune/Neo4j)
• FastAPI, Flask

Compensation

• The base compensation range for this role in the posted location is $140,000-$180,000.
• In addition to base salary, the role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

• Vacation: 12-25 days depending on grade
• Company paid holidays
• Personal days
• Sick leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (for example, 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

Location: St. Loiuse, MO.