Senior Data Scientist

Capgemini; Chicago (IL); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Vacation days

Holidays

Personal days

Sick leave

Medical coverage

Retirement plan

Life/Disability insurance

Employee assistance program

Job summary

Capgemini seeks a Senior Data Scientist to lead an Infrastructure Intelligence and Analytics platform from Chicago onsite. You will own offshore production support, ensure platform readiness during offshore hours, and mentor an offshore platform engineering team while driving automation.

You will monitor data pipelines, resolve infra and data issues, build dashboards, and optimize AWS costs. Strong Python and AWS experience are essential.

Qualifications

• 8+ years of platform/infrastructure engineering experience.
• Strong production support, monitoring, incident response and cost optimization.
• Experience leading offshore or distributed teams is a plus.
• AWS certifications preferred.

Responsibilities

• Own production support, incident management and platform availability offshore.
• Monitor data pipelines for quality and freshness for AI analytics systems.
• Develop automation tools and scripts for operations using Python.
• Build dashboards for system health and AWS cost tracking.
• Collaborate with onshore teams for seamless handoffs and operational strategy.

Skills

AWS

Terraform

CloudFormation

Docker

Python

REST APIs

Git

CI/CD

S3/AWS services

Terraform

Education

Bachelor's degree in CS/IT/SE

Tools

Spark

Kafka

Airflow

FastAPI/Flask

Job description

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.