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Capgemini Engineering

Data Scientist

Capgemini Engineering

Data Scientist responsible for designing, developing, and maintaining software applications for advanced analytics at Accelint. Collaborating with teams to implement AI/ML algorithms and providing insights from data analysis.

Posted 5/6/2026full-timeSt. Paul • Minnesota • 🇺🇸 United StatesJuniorMid-Level💰 $105,600 - $127,100 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
  • 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
  • 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 2 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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Hard Skills & Tools
PythonPandasNumPyScikit-learnSQLstatistical analysisforecasting techniquesanomaly detectiondata visualizationmachine learning
Soft Skills
problem-solvinganalytical skillswritten communicationverbal communicationcollaboration