Applied Scientist- Pricing, Dynamic Pricing & Offer Selection

Responsibilities

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

Requirements

• 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 and non-standard mathematical problems and building impactful machine learning models leveraging expertise in one or multiple fields.
• Strong understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models.
• Strong verbal and written communication skills with a good track record of collaborating with others to solve a problem.

Qualifications

• Experience with real-world problems across optimization, prediction, machine learning, and inference.
• Collaboration and coordination with cross-functional teams.

Skills

• Experience with production-grade ML and Optimization models.
• Ability to build custom methods and tooling beyond off-the-shelf libraries.
• Data analysis and proof-of-concept development.
• Implementation of algorithms in live systems.
• Metrics and development measurement methodologies.
• Collaboration and coordination with cross-functional teams.

Benefits

• Great medical, dental, and vision insurance options with additional programs available when enrolled.
• Mental health benefits.
• Family building benefits.
• Child care and pet benefits.
• 401(k) plan with company match to help save for your future.
• 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off.
• 18 weeks of paid parental leave.
• Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits.
• Monthly Lyft credits and complimentary Lyft Pink membership.

Pay

• The expected base pay range for this position in the San Francisco area is $140,800 - $176,000, not inclusive of potential equity offering, bonus or benefits.

Schedule

• This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays.