Data Scientist

Capgemini • Atlanta, GA

2d

About The Position

Choosing 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.

Requirements

• 1–3 years of experience in machine learning, data science, or software engineering (including internships)
• Proficiency in Python and basic ML libraries (Scikit-learn, Pandas, NumPy)
• Foundational understanding of machine learning concepts (supervised/unsupervised learning, evaluation metrics)
• Basic familiarity with cloud platforms (AWS, Azure, or GCP)
• Understanding of data structures, algorithms, and software engineering fundamentals
• Experience with SQL and working with structured datasets
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• Strong willingness to learn and grow in a fast-paced, client-facing environment
• Good communication and collaboration skills

Responsibilities

• Assist in building and maintaining ML pipelines and data workflows
• Support model development, testing, and validation efforts
• Help deploy models into production under guidance from senior team members
• Perform data preprocessing, feature engineering, and exploratory analysis
• Monitor model performance and contribute to debugging and optimization
• Document workflows, models, and technical processes

Benefits

• Paid time off based on employee grade (A-F), defined by policy: 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 (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level