Capgemini · 3 hours ago
GenAI- Data Scientist / ML Engineer - AI & Analytic
Seattle, WA
Full-time
Onsite
Mid, Senior Level
$65K/yr - $90K/yrCapgemini is a global business and technology transformation partner that helps organizations accelerate their transition to a digital and sustainable world. The Data Scientist / ML Engineer will develop and implement AI-assisted marketing analytics solutions using data science and machine learning, collaborating with multi-functional teams to drive business growth and improve customer engagement.
ConsultingInformation TechnologyInsurTechIT ManagementSoftware
Responsibilities
Responsible for developing and implementing AI-assisted marketing analytics solutions that address customer needs using data science and machine learning
Work closely with multi-functional teams to deliver innovative solutions that drive business growth and improve customer engagement
Design, implement, and optimize machine learning models (supervised, unsupervised, and reinforcement learning)
Work on projects involving NLP, computer vision, recommendation systems, and predictive analytics
Perform feature engineering, data preprocessing, and model selection
Collaborate with Data Engineers to acquire and preprocess large datasets
Build and maintain data pipelines to support model training, testing, and deployment
Ensure data quality, consistency, and reliability
Deploy ML models into production environments using CI/CD and MLOps practices
Monitor model performance, retrain models, and manage model versioning
Optimize inference performance and resource utilization
Stay current with emerging ML/AI technologies, frameworks, and research
Evaluate new algorithms, tools, and libraries to improve model performance
Experiment with novel approaches to solve complex business problems
Work with software engineers, data scientists, and product managers to integrate ML solutions into applications
Mentor junior engineers and share best practices in ML development and deployment
Qualification
Required
Excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest, GBM, DNN, Naive Bayes, Support Vector Machine, etc.)
Experience in developing and implementing AI-assisted marketing analytics solutions using data science and machine learning
Ability to design, implement, and optimize machine learning models (supervised, unsupervised, and reinforcement learning)
Experience working on projects involving NLP, computer vision, recommendation systems, and predictive analytics
Experience in feature engineering, data preprocessing, and model selection
Ability to collaborate with Data Engineers to acquire and preprocess large datasets
Experience in building and maintaining data pipelines to support model training, testing, and deployment
Ability to ensure data quality, consistency, and reliability
Experience in deploying ML models into production environments using CI/CD and MLOps practices
Ability to monitor model performance, retrain models, and manage model versioning
Experience in optimizing inference performance and resource utilization
Ability to stay current with emerging ML/AI technologies, frameworks, and research
Experience in evaluating new algorithms, tools, and libraries to improve model performance
Ability to experiment with novel approaches to solve complex business problems
Experience working with software engineers, data scientists, and product managers to integrate ML solutions into applications
Ability to mentor junior engineers and share best practices in ML development and deployment
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
Business Wire
2026-01-19
Company data provided by crunchbase