MLW LogoMost Loved Workplace® Certified Job

Data Scientist, Algorithms

MLW LogoAssessed by Most Loved Workplace®
92% of candidates apply because they are a Most Loved Workplace®
San Francisco, CA
Pricing

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..

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>

<p>The Marketplace team at Lyft is responsible for accelerating the growth of the business while simultaneously delivering on key business and financial metrics, and Dynamic Pricing & Offer Selection is an integral part of that. Our team is the dynamic pricing team responsible for leveraging both real-time and historical data to set prices for every single ride at Lyft while balancing prices and ETAs to better serve our riders’ needs.</p>

<p>We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business. In this role, you will work closely with Product and Engineering on a cross-functional team to prototype and build end-to-end dynamic pricing models that can operate at scale. In addition, you will be expected to leverage your domain knowledge and influence existing and future roadmaps to help Lyft continue to deliver a better experience for riders and drivers.</p>

<h2>Responsibilities:</h2>

<ul>

<li>Partner with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context</li>

<li>Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes</li>

<li>Develop and fit statistical, machine learning, or optimization models</li>

<li>Write production code; collaborate with Software Engineers to ship models to production</li>

<li>Design and implement both simulated and live experiments</li>

<li>Analyze experimental and observational data; facilitate launch decisions</li>

<li>Communicate findings to a broad audience

Want to learn more about what it's like to work at Lyft? View our full profile.

MLW Logo

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

Frequently Asked Questions About Working at Lyft

Common questions candidates ask about this role and Lyft's workplace

Request a ride whenever you need one. Drivers earn on their own terms. Download the app to get started.

Please review the specific job listing or contact Lyft's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Lyft is an established organization in its industry. The company focuses on maintaining a supportive workplace culture for all employees.

Key benefit categories include: Health & Wellness, Work-Life Balance, Financial & Retirement, Professional Development, Community & Belonging. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Belonging Over Everything and Challenge Convention and Community-Centric Connection.

The company has committed to inclusive practices including: Champion Belonging and Inclusion and Invest in People's Growth.

Lyft has a supportive and collaborative culture, recognized as a loved place to work by its team members.

Lyft currently has 192 open positions. They are hiring across departments like Media & Lyft Business, Corporate Engineering & IT, LUS Supply Chain. You can view all current openings at certcheck.mostlovedworkplace.com/companies/lyft/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Lyft's recruiting team for specific details on this role's process.

Apply for Data Scientist, Algorithms

Submit your application directly to the Lyft team. Let them know why you'd be a great addition to their loved place to work.

Most Loved Workplace® Logo
Powered by Most Loved Workplace®

The global standard for company culture certification and employer of choice visibility.

Learn more about Most Loved Workplace®