Applied Scientist- Pricing, Dynamic Pricing & Offer Selection

Responsibilities

• Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within business context.
• Write production quality code; design, build, and deploy production-grade ML and Optimization models; build custom methods beyond off-the-shelf libraries.
• Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions.
• Evaluate machine learning systems against business goals; collaborate with Engineers to implement algorithms in live systems and ensure robustness.
• Establish metrics and development measurement methodologies to monitor product health and impacts on user/marketplace outcomes.
• Drive collaboration and coordination with cross-functional teams.

Experience

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields.
• 2+ years of algorithms experience in a technology company setting.
• Proficiency with Python and working in a production coding environment.
• Passion for solving unstructured mathematical problems and building impactful ML models.
• Strong understanding of ML methodologies with experience building and evaluating optimization/ML models.
• Strong verbal and written communication skills with track record of collaboration.

Benefits

• Great medical, dental, vision insurance.
• Mental health, family building, child care, pet benefits.
• 401(k) with company match.
• Paid time off, 18 weeks paid parental leave.
• Subsidized commuter benefits, Lyft credits, Pink membership.