Related skills
sql python machine learning experimentation feature engineeringπ Description
- Translate business problems into clear hypotheses and objectives
- Develop ML models and research methods to drive product innovation
- Design and run live experiments to prototype improvements
- Build production ML systems for large-scale, low-latency ad serving
- Collaborate with cross-functional teams to define ML strategy
- Provide technical leadership and mentorship in ML and experimentation
π― Requirements
- 10+ years of ML and data science experience solving real-world problems
- Deep expertise in statistics, ML, and optimization
- Hands-on production ML: feature engineering, model serving, monitoring
- Strong skills in Python, SQL, and Java/Scala
- Excellent communication and collaboration skills
- Proven track record leading cross-functional teams
π Benefits
- Health, dental, vision, life and disability insurance
- Equity awards and retirement options
- Parental leave and paid time off
- Wellness programs and mental health resources
- Location-based benefits vary by location
- Hybrid work flexibility with in-office Fridays
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