Most Loved Workplace® Certified JobData Scientist
Assessed by Most Loved Workplace®92% of candidates apply because they are a Most Loved Workplace®
About the Role
At Lyft, a Most Loved Workplace® certified employer in the Transportation space, Connecting cities, one ride at a time, for a more equitable future..
Analyze large datasets to provide insights and drive decision-making. Develop predictive models to improve operational efficiency and customer experience.
What makes this opportunity special
- Culture of Belonging & Inclusion: Lyft cultivates an environment where differences flourish and every team member feels supported, valued, and comfortable being themselves. Diverse perspectives drive innovation across corporate teams and driver partnerships.
- Purpose-Driven Impact: Success is measured beyond metrics—by positive impact on riders, drivers, employees, and cities. Join a movement toward sustainable transportation and equitable urban solutions that serve all people.
- Innovation & Growth Opportunity: As a leader evolving into multimodal transportation with bikes, scooters, autonomous vehicles, and electric fleet transitions, Lyft offers smart, passionate individuals the chance to shape the future of cities.
Our core culture values include Belonging Over Everything, Challenge Convention, Community-Centric Connection.
Want to learn more about what it's like to work at Lyft? View our full profile.
Requirements
- 3+ years of experience in data science
- Proficiency in SQL and Python
- Experience with machine learning techniques
- Strong statistical analysis skills
Benefits
- Competitive salary
- Equity options
- Health and wellness benefits
- Flexible work schedule
- Learning and development budget
Prefer to apply on the company's career site?
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Why This Is a Most Loved Workplace® Certified Job
What It's Like to Work Here
handshake Belonging Over Everything
lightbulb Challenge Convention
users Community-Centric Connection
leaf Mission-Driven Sustainability
trending-up Growth Mindset Culture
Apply for Data Scientist
Submit your application directly to the Lyft team. Let them know why you'd be a great addition to their loved place to work.
