
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 • Toronto, Canada
Lyft is seeking a Data Science Manager for their Real-Time Supply Management team to lead data science initiatives that enhance marketplace efficiency and driver engagement. This role requires strong leadership skills and experience in data-driven decision-making.
You have a strong background in data science and experience leading teams — your expertise allows you to guide data-driven projects that significantly impact business outcomes. You understand the importance of fostering a collaborative environment where team members can thrive and contribute effectively.
You possess excellent communication skills — you can articulate complex data insights to non-technical stakeholders, ensuring that everyone understands the implications of your work. Your ability to partner with product, engineering, and operations leaders is crucial for driving initiatives forward.
You have a strategic mindset — you can develop a vision for data science projects and set clear roadmaps that align with business goals. Your experience in optimizing processes and improving efficiency will be invaluable in this role.
You are adept at managing budgets and resources effectively — your analytical skills enable you to make informed decisions that maximize market throughput while maintaining a positive driver experience.
Experience in rideshare or transportation industries would be a plus, as it provides context for the challenges faced in real-time supply management. Familiarity with algorithm development and budget allocation strategies will enhance your effectiveness in this role.
As the Data Science Manager for the Real-Time Supply Management team, you will lead initiatives that directly impact Lyft's marketplace efficiency. You will oversee the development of algorithms and models that optimize supply conditions and improve driver engagement. Your role will involve collaborating closely with cross-functional teams to ensure that data science projects align with operational needs and business objectives.
You will be responsible for setting the vision and roadmap for data science initiatives — your leadership will guide the team in executing projects that enhance the rideshare experience for both drivers and passengers. You will also play a key role in shaping long-term business strategies through data analysis and insights.
Your work will involve analyzing complex datasets to identify trends and opportunities for improvement — you will leverage your analytical skills to make data-driven recommendations that support Lyft's goals. You will also be tasked with managing significant budgets, ensuring that resources are allocated effectively to maximize market throughput.
Lyft provides a supportive work environment where all team members can thrive — you will have the opportunity to lead impactful projects that shape the future of transportation. The company values diversity and encourages applications from individuals with varied backgrounds and experiences.
You will be part of a dynamic team that is committed to innovation and excellence — your contributions will directly influence Lyft's marketplace efficiency and driver engagement strategies. The role offers opportunities for professional growth and development as you lead data science initiatives that drive real-world impact.
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