
The friendly ride-sharing alternative to Uber
Lyft, headquartered in San Francisco, CA, is a leading ride-sharing company focused on improving transportation experiences in the U.S. and Canada. With over 100 million rides completed and $4.9 billion raised in funding, Lyft aims to provide a more reliable and environmentally friendly alternative ...
Lyft offers a comprehensive benefits package including unlimited paid time off for salaried employees, 15 days PTO for hourly team members, and 18 wee...
Lyft fosters a culture focused on reliability and friendliness, positioning itself as a greener alternative to Uber. The company emphasizes local oper...

Lyft • New York, NY
Lyft is seeking a Senior Data Scientist specializing in Algorithms to enhance their rideshare platform. You'll develop mathematical models and collaborate with cross-functional teams to improve supply and demand matching. This role requires expertise in machine learning and optimization.
You have 5+ years of experience in data science, particularly in developing algorithms and mathematical models that drive business decisions. Your background includes a strong focus on machine learning, optimization, and statistical modeling, allowing you to tackle complex problems effectively. You thrive in collaborative environments, working closely with engineers, product managers, and business partners to frame and solve problems both mathematically and contextually. Your analytical skills enable you to perform exploratory data analysis, gaining insights that inform your modeling efforts. You are proficient in writing production-level code for models and algorithms, ensuring they are robust and scalable. You understand the importance of data quality and integrity, and you are committed to leveraging data to create impactful solutions.
Experience with real-time data processing and algorithms in a ridesharing or similar domain would be a plus. Familiarity with tools and frameworks for machine learning and data analysis, such as TensorFlow or PyTorch, is also desirable. You are comfortable with statistical programming languages like Python or R, and you have a knack for communicating complex technical concepts to non-technical stakeholders.
As a Senior Data Scientist on the Fulfillment team at Lyft, you will drive the science and machine learning roadmap for your area of expertise. You will leverage data and analytic frameworks to create and improve algorithms that underpin the team's systems and products. Your role will involve collaborating with cross-functional teammates to enhance algorithms that match rideshare supply and demand in real time. You will construct and fit statistical, machine learning, or optimization models, ensuring they are aligned with business objectives. Additionally, you will perform exploratory data analysis to deepen your understanding of the problems at hand, guiding your modeling efforts. Writing production modeling code will be a key part of your responsibilities, as will collaborating with engineers to integrate your models into the Lyft platform. You will also have the opportunity to mentor junior data scientists, sharing your expertise and fostering a culture of learning within the team.
Lyft offers a competitive salary range for this position in the New York City area, between $148,000 and $185,000, not including potential equity offerings, bonuses, or benefits. We believe in creating a work environment where all team members belong and have the opportunity to thrive. You will be part of a mission-driven company that is focused on connecting people and improving their experiences through innovative technology. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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