• We will provide 6 weeks of training and continued mentorship

Job Description: The Data Scientist/ML Engineer will demonstrate excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, DNN, Naive Bayes, Support Vector Machine, etc.) to lead efforts, teams, projects, and engage with customers

• Responsible for developing and implementing AI-assisted marketing analytics solutions that address customer needs using data science, machine learning

Work closely with multi-functional teams to deliver innovative solutions that drive business growth and improve customer engagement

• You will have 1 to 2 years working experience after your graduation
• You are required to be in the office for 3 days per week
• Strong programming skills using Python, SQL, PySpark
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Strong analytical, critical-thinking skills with proven ability to identify/analyze/synthesize data and use the data to drive decisions
• Superior communication and persuasion skills, talent for storytelling, visualization, and crafting insights from data to deliver practical recommendations for business action

Good knowledge of calculus, linear algebra, statistics, and probability

• Excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, DNN, Naive Bayes, Support Vector Machine, etc.)
• Expertise in applying statistical, sophisticated analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems

Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required

• You must live in Seattle otherwise relocate at your own expense to start in March 2026
• Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees
• In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
• 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