Senior Data Scientist, Decisions - Risk

Responsibilities

• Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce the total cost of claims.
• Partner with product managers, engineers, actuaries, claims, and operators to translate data insights into decisions and action.
• Construct and fit statistical, machine learning, or optimization models.
• Design and analyze online experiments; communicate results and act on launch decisions.
• Develop analytical frameworks to monitor business and product performance.
• Establish metrics that measure the health of our products, the business, as well as the driver experience.
• Collaborate with the Claims team to identify high-impact opportunities where data-driven interventions can reduce the total cost of claims.

Requirements

• Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience.
• 5+ years of industry experience in a data science, analytics, or management consulting role.
• End-to-end experience with data, including querying, aggregation, analysis, and visualization.
• Ability to manage, influence, negotiate, and inspire others in a fast-moving environment.
• Proficiency in SQL and Python.
• Experience with insurance claims analytics a plus.

Qualifications

• Strong oral and written communication skills, and ability to collaborate with cross-functional partners.

Skills

• Problem-solving skills.
• Data-driven decision making.
• Collaborative teamwork.
• Technical proficiency in SQL and Python.

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.
• Discretionary paid time off.
• Paid parental leave.
• Subsidized commuter benefits.
• Monthly Lyft credits and complimentary Lyft Pink membership.

Pay

Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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. Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.