Related skills
optimization data analysis python machine learning statisticsπ Description
- Leverage data/analytics to improve algorithms and models powering the system.
- Partner with engineers, PMs, and partners to frame problems mathematically.
- Perform exploratory data analysis to understand the problem.
- Construct and fit statistical, ML, or optimization models.
- Write production modeling code; collaborate with software engineers to deploy algorithms.
- Design and implement simulated and live traffic experiments.
- Analyze experimental and observational data; communicate findings; guide launches.
- Develop measurement methods to monitor product health and impacts on users and marketplace.
- Drive collaboration with cross-functional teams.
π― Requirements
- MS or PhD in ML, Stats, OR, CS, Math, or other quantitative fields.
- 2+ years of professional experience in a tech company.
- Proven experience building and evaluating ML models.
- Proficiency with Python in production coding environments.
- Passion for solving unstructured mathematical problems.
- End-to-end data experience: querying, aggregation, analysis, and visualization.
- Strong communication skills; ability to collaborate to solve problems.
π Benefits
- Great medical, dental, and vision insurance options; additional programs.
- Mental health benefits.
- Family building benefits.
- Child care and pet benefits.
- 401(k) with company match.
- Paid time off: discretionary for salaried; 15 days for hourly.
- 18 weeks paid parental leave.
- Subsidized commuter benefits.
- Monthly Lyft credits and Lyft Pink membership.
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