Capgemini · 1 day ago
Entry Level - Data Scientist-GenAI Engineer -ML
Seattle, WA
Full-time
Onsite
New Grad, Entry Level
$60K/yr - $75K/yrCapgemini is a global business and technology transformation partner, and they are seeking an Entry Level Data Scientist-GenAI Engineer-ML. The role involves developing AI-assisted marketing analytics solutions, collaborating with cross-functional teams, and building machine learning models to support analytics and modeling initiatives.
ConsultingInformation TechnologyInsurTechIT ManagementSoftware
Responsibilities
Assist in building and testing machine learning models using supervised and unsupervised learning techniques
Support data preprocessing activities, including data cleaning, transformation, and feature creation
Work with structured and unstructured datasets to support analytics and modeling initiatives
Collaborate with senior data scientists and machine learning engineers on model development and evaluation
Perform basic exploratory data analysis (EDA) to identify trends and insights
Help document models, data sources, and processes for transparency and reusability
Participate in deploying models to development or testing environments under guidance
Monitor model performance and support retraining activities as needed
Work closely with cross-functional teams such as data engineering, software development, and product teams
Stay up to date with basic machine learning concepts, tools, and industry best practices
Qualification
Required
Strong expertise in machine learning algorithms—such as Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Trees, Random Forest, Gradient Boosting Machines (GBM), Deep Neural Networks (DNN), Naive Bayes, and Support Vector Machines (SVM)
Develop and implement AI-assisted marketing analytics solutions that address customer needs through data science and machine learning
Collaborate closely with cross-functional teams to deliver innovative solutions that drive business growth and enhance customer engagement
Assist in building and testing machine learning models using supervised and unsupervised learning techniques
Support data preprocessing activities, including data cleaning, transformation, and feature creation
Work with structured and unstructured datasets to support analytics and modeling initiatives
Collaborate with senior data scientists and machine learning engineers on model development and evaluation
Perform basic exploratory data analysis (EDA) to identify trends and insights
Help document models, data sources, and processes for transparency and reusability
Participate in deploying models to development or testing environments under guidance
Monitor model performance and support retraining activities as needed
Work closely with cross-functional teams such as data engineering, software development, and product teams
Stay up to date with basic machine learning concepts, tools, and industry best practices
Basic understanding of machine learning concepts and algorithms: (e.g., Linear Regression, Logistic Regression, Decision Trees, Clustering)
Proficiency in Python and familiarity with data science libraries (e.g., Pandas, NumPy, scikit-learn)
Exposure to data visualization tools (e.g., Matplotlib, Seaborn, or similar)
Fundamental knowledge of statistics and data analysis techniques
Basic understanding of SQL and data querying concepts
Willingness to learn cloud platforms, ML tools, and deployment practices
Strong analytical and problem-solving skills
Good communication skills and ability to work in a team-oriented environment
Preferred
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
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
Company
Capgemini
Capgemini is a software company that provides consulting, technology, and digital transformation services.
Founded in 1967
10001+ employees
H1B Sponsorship
Capgemini has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2856)
2024 (3012)
2023 (3424)
2022 (4392)
2021 (3311)
2020 (5871)
Funding
Current Stage
Public CompanyTotal Funding
$4.72B2025-09-18Post Ipo Debt· $4.72B
1999-04-01IPO
Leadership Team
Aiman Ezzat
CEO, Capgemini Group
Anirban Bose
CEO of Americas Strategic Business Unit
Recent News
The French Tech Journal
2026-01-22
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2026-01-20
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