Data Scientist, Decisions - Risk Solutions

@ Lyft

About the Role

At Lyft, our purpose is to serve and connect. Data Science is at the heart of Lyft’s products and decision-making. As a Data Scientist on the Risk Solutions team, you will use data and rigorous analytical thinking to shape our products and make business decisions that directly impact driver and rider safety.

Responsibilities

• Leverage data and analytic frameworks to identify growth opportunities.
• Partner with product managers, engineers, designers, and operators to translate insights into action.
• Construct and fit statistical, machine learning, or optimization models.
• Design and analyze online experiments and communicate results.
• Develop analytical frameworks to monitor business and product performance.
• Establish metrics that measure the health of products and driver experience.

Experience & Skills

Required qualifications include a degree in a quantitative field or relevant work experience, 3+ years in data science or analytics, proficiency in SQL and Python, and strong communication skills. Experience with end-to-end data handling including querying, aggregation, analysis, and visualization is essential.

Benefits

Benefits include medical, dental, vision, mental health support, family building benefits, 401(k), generous paid time off, parental leave, subsidized commuter benefits, and Lyft Pink access. Additional in-office perks are available.

Work Arrangement

This role requires a hybrid work schedule with in-office presence 3 days per week (Mondays, Wednesdays, Thursdays) and flexibility to work remotely up to 4 weeks per year.

Compensation

The expected base pay range for the San Francisco Bay area is $128,000 - $160,000, with total compensation varying based on qualifications, experience, and geographic location.

Key skills/competency

• Data Analysis
• Machine Learning
• SQL
• Python
• Experiment Design
• Statistical Modeling
• Risk Management
• Collaboration
• Analytical Thinking
• Business Intelligence