Related skills
aws sql python databricks tensorflow📋 Description
- Take ownership of data products delivering insights shaping decisions
- Elicit requirements as user stories and acceptance criteria; prioritize backlog
- Collaborate with data scientists, engineers and stakeholders to align the platform with goals
- Partner with Data Science & ML Data Engineering to deliver value from data
- Create and maintain docs for ML platform, incl. experiment tracking and deployment
- Monitor platform performance, model accuracy, and data quality; drive improvements
🎯 Requirements
- 3-6 years experience as Product Manager, Product Owner, or Data Scientist delivering data products
- Experience with data warehouse and data science tech: Python, PySpark, Databricks, AWS, MLflow
- Proficiency with ML frameworks: TensorFlow, PyTorch, scikit-learn
- Expertise in using Databricks for scalable ML workflows
- Strong SQL and Python skills
- MLflow experience including experiment tracking, registry, lifecycle; Unity Catalog knowledge
🎁 Benefits
- Comprehensive health plans, fertility and mental health support
- Generous PTO, annual bonus and long-term incentives
- 401(k) with up to 5% match
- Commuter benefits and pet insurance
- FanDuel Total Rewards program
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