Senior Data Scientist

Capgemini Engineering

Senior Data Scientist focused on designing advanced analytical solutions for national security technology. Collaborating to develop predictive models and AI/ML applications with cross-functional teams.

Posted 5/6/2026full-timeSt. Paul • Minnesota • 🇺🇸 United StatesSenior💰 $126,800 - $154,500 per yearWebsite

Tech Stack

Tools & technologies

GrafanaNumpyPandasPythonScikit-LearnSQLTableau

About the role

Key responsibilities & impact

Lead the design, development, and implementation of statistical techniques and algorithms.
Write clean, maintainable, and efficient code, and ensure best practices in coding standards.
Test algorithms against key benchmarks and implement techniques to enhance performance.
Work with developers, solution architects, and DevSecOps engineers to incorporate algorithms within software architectures and effectively deploy the algorithms within existing code base.
Work with engineers to incorporate prototype algorithms into new products, services, and features and provide guidelines for large-scale implementation.
Research and identify areas for applications of AI/ML in support of the program.
Work with the development team and government teams to align AI/ML efforts.
Prepare and maintain comprehensive technical documentation related to algorithm development.
Ensure accuracy and completeness of all documentation.
Mentor junior data scientist and coordinate activities to complete key data science tasks.
Foster effective collaboration with cross-functional teams to achieve project objectives.
Communicate complex technical information clearly and effectively.
Utilize advanced software development tools and methodologies to support project requirements.
Integrate software development tools and methodologies into the workflow to improve efficiency and accuracy.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field.
At least 5 plus years of experience in data science or related discipline.
Experience analyzing system performance data and time series data.
Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.).
Strong background in statistical analysis, forecasting techniques, and anomaly detection.
Experience with SQL and relational databases.
Knowledge of data visualization tools for creating operational dashboards (Tableau, Power BI, Grafana, or similar).
Understanding of machine learning fundamentals with a willingness to expand AI/ML implementation skills.
Excellent problem-solving and analytical skills.
Superior written and verbal communication skills.

Benefits

Comp & perks

Paid Time Off
Paid Company Holidays
Medical, Dental & Vision Insurance
Optional HSA and FSA
Base and Voluntary Life Insurance
Short Term & Long-Term Disability Insurance
401k Matching
Employee Assistance Program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPandasNumPyScikit-learnSQLstatistical analysisforecasting techniquesanomaly detectiondata visualizationmachine learning

Soft Skills

problem-solvinganalytical skillswritten communicationverbal communicationmentoringcollaborationdocumentationproject managementteam coordinationtechnical communication