Applied Scientist - Pricing, Rider Engagement

M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields

2+ years of machine learning 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, and ability to collaborate and communicate with others to solve a problem

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

In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off

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 models.

Perform data analysis and build proof-of-concept to explore and propose ML 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