Lead Product Manager, Data Science
Los Angeles, California, United States
USD 109K-162K Senior-level Full Time
Tasks
- Build feature engineering pipelines
- Define and prioritize data science roadmap
- Develop data science product strategy
- Enable streaming analytics and real time decision making
- Enhance central ML feature store
- Establish self service tools for model deployment
- Implement AI governance frameworks
- Lead machine learning model development
- Monitor and optimize models in production
- Partner with data scientists and product teams
- Support A B testing for personalization
- Translate data insights into product strategy
Perks/Benefits
- 401-k plan
- Commuter benefits
- Dental insurance
- Employee stock purchase program
- Family planning support
- Fitness expense reimbursement
- Life insurance
- Medical insurance
- Mental health support
- Paid Holidays
- Paid parental leave
- Paid sick days
- Paid vacation
- Vision insurance
- Wellbeing programs
Skills/Tech-stack
A Model Governance | A/B | A/B Testing | Amazon SageMaker | B testing | Compliance | Computer Vision | Data Privacy | Data Security | Databricks | Feature Engineering | Feature Store | Language Processing | MLOps | MLflow | Machine Learning | Model Governance | Natural Language | Natural Language Processing | Predictive Modeling | Product Management | Python | Real Time | Real-time analytics | SQL | Streaming Analytics | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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