
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 Senior Data Scientist to enhance community trust and safety through data-driven strategies. You'll collaborate with cross-functional teams to build impactful safety features and models. This role requires expertise in SQL, Python, and R.
You have 5+ years of experience in data science, with a strong background in statistical modeling and data analysis. Your expertise in SQL allows you to manipulate and analyze large datasets effectively, while your proficiency in Python and R enables you to develop robust statistical models and data-driven strategies. You possess deep customer empathy and a curiosity to uncover platform risks, which drives your commitment to enhancing safety in transportation.
You thrive in collaborative environments, working cross-functionally with product management, engineering, design, legal, research, and operations teams. Your ability to communicate complex data insights clearly and effectively influences product launch decisions and fosters a culture of safety-forward thinking. You are comfortable designing and analyzing online experiments, interpreting results, and building key metrics that guide strategic decisions.
Experience with machine learning frameworks and tools is a plus, as is familiarity with data visualization tools to present insights compellingly. A background in community safety or risk management would be advantageous, as it aligns with Lyft's mission to ensure trust and safety for all users.
In this role, you will leverage data and analytical frameworks to identify opportunities for improving community trust and safety. You will partner with product managers, engineers, designers, marketers, and operators to translate insights into scalable, safety-forward decisions. Your responsibilities will include designing and analyzing online experiments, interpreting and communicating results to influence product launch decisions, and building and monitoring key metrics that inform strategic initiatives.
You will play a critical role in leading key initiatives that enhance the safety of Lyft’s community. By exploring large datasets and developing statistical models, you will contribute to creating data-driven strategies that provide safe and engaging experiences for customers. Your work will directly impact the safety features and systems that Lyft implements, ensuring a trusted community for riders and drivers alike.
Lyft fosters a work environment where all team members belong and have the opportunity to thrive. You will be part of a team that is dedicated to making transportation safer for all. The company values diversity and encourages you to apply even if your experience doesn't match every requirement. Lyft offers competitive compensation and benefits, along with opportunities for professional growth and development within the organization. You will have the chance to work on impactful projects that shape the future of transportation safety.
Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Lyft may use artificial intelligence to screen applicants; however, Lyft employees make the ultimate selection and hiring decisions.
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