Senior Data Scientist, Machine Learning, Fulfilment

$144,000 - $180,000/Yr

Lyft - New York, NY

Full-time - Senior

New York, NY

Transit and Ground Passenger Transportation

About the position

As a Senior Data Scientist specializing in Machine Learning at Lyft, you will play a crucial role in enhancing the company's core services through the development of mathematical models and algorithms. This position involves collaborating with cross-functional teams to address complex problems in ridesharing, focusing on optimizing supply and demand matching in real-time. You will be part of a dynamic environment that values diversity and inclusion, contributing to impactful business decisions and product improvements.

Responsibilities

• Drive the Science and Machine Learning roadmap of the team's problem area, leveraging data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team's systems and products
• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and implement both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions
• Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams
• Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams

Requirements

• M.S. or Ph.D. in Machine Learning, Statistics, Computer Science, Mathematics, or other quantitative fields
• 4+ years professional experience in a technology company setting
• Proven experience with building and evaluating machine learning models
• Proficiency with Python and working in a production coding environment
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem

Nice-to-haves

• Past experience working as a Machine Learning Engineer is a preferred plus

Benefits

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• Unlimited paid time off for salaried team members, 15 days paid time off for hourly team members
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave for biological, adoptive, and foster parents
• Pre-tax commuter benefits
• Lyft Pink - exclusive opportunity to test new benefits of the Ridership Program