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Senior Data Scientist

Capgemini Chicago, IL

Chicago, IL

Today

$140k - $180k/yr Full time Senior Amazon Web Services Analytics

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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.

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