Senior Data Scientist

# Senior Data Scientist Chicago Apply  for this job
* Permanent* Experienced Professionals
* Data & AI
* -en _GBChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.##

Location St. Loiuse , MO##
** Your Role
** The Platform Engineer is a senior leadership role responsible for managing and supporting Infrastructure Intelligence and Analytics  platform during offshore hours. The position oversees production operations, data pipeline reliability, infrastructure cost optimization, application development, and leadership of the offshore platform engineering team.
** Key Responsibilities
** Serve as the primary offshore owner for production support, incident management, and platform availability.  Monitor and maintain data pipelines, ensuring data quality, freshness, and timely availability for AI agents and analytics systems.  Independently troubleshoot and resolve infrastructure, application, and data issues with minimal escalation.  Build and manage dashboards for system health, operational monitoring, and AWS/cloud cost tracking.  Optimize AWS infrastructure usage, AI token consumption, storage, and compute costs.  

Develop automation tools, scripts, small services, and integration solutions, primarily using Python.  Lead and mentor offshore engineers, establish operational standards, runbooks, and support procedures.  Collaborate with onshore platform, data engineering, and data science teams to ensure seamless operations and handoffs.  Contribute to infrastructure architecture and operational strategy.##
** Required Skills and Expereince
** Strong AWS expertise (EC2, S3, IAM, VPC, Glue, Athena, EMR, Cloud Watch, Secrets Manager).  

Experience with Terraform (preferred), Cloud Formation, 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.  

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.  Relevant AWS certifications.
** Education & Experience
** Bachelor's degree (or equivalent experience) in Computer Science, IT, Systems Engineering, or 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.

The base compensation range for this role in the posted location is $140,000- $180,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the…