Lyft
Data Scientist, Algorithms - Fulfillment
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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. Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross‑functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.
As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross‑functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.
Responsibilities
Leverage data and analytic frameworks to direct the creation and improvement 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, collaborating with Software Engineers to implement algorithms in production
Design and implement both simulated and live traffic experiments
Analyze experimental and observational data; communicate findings and 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
Experience
M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
2+ 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 the ability to collaborate and communicate with others to solve a problem
Benefits
Great medical, dental, and vision insurance options with additional programs when enrolled
Mental health benefits
Family building benefits
Child care and pet benefits
401(k) plan to help save for your future
In addition to 12 observed holidays, salaried team members have discretionary paid time off; hourly team members have 15 days paid time off
18 weeks of paid parental leave for biological, adoptive, and foster parents
Subsidized commuter benefits
Lyft Pink – exclusive opportunity to test new benefits of our Ridership Program
EEO Statement Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state, and local law.
Hybrid Work Note Lyft highly values having employees working in‑office to foster a collaborative work environment and company culture. This role will be in‑office on a hybrid schedule – team members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in‑office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
Salary Range The expected base pay range for this position in the Seattle area is $128,000 – $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. The range does not include potential equity offering, bonus, or benefits.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
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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. Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross‑functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.
As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross‑functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.
Responsibilities
Leverage data and analytic frameworks to direct the creation and improvement 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, collaborating with Software Engineers to implement algorithms in production
Design and implement both simulated and live traffic experiments
Analyze experimental and observational data; communicate findings and 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
Experience
M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
2+ 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 the ability to collaborate and communicate with others to solve a problem
Benefits
Great medical, dental, and vision insurance options with additional programs when enrolled
Mental health benefits
Family building benefits
Child care and pet benefits
401(k) plan to help save for your future
In addition to 12 observed holidays, salaried team members have discretionary paid time off; hourly team members have 15 days paid time off
18 weeks of paid parental leave for biological, adoptive, and foster parents
Subsidized commuter benefits
Lyft Pink – exclusive opportunity to test new benefits of our Ridership Program
EEO Statement Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state, and local law.
Hybrid Work Note Lyft highly values having employees working in‑office to foster a collaborative work environment and company culture. This role will be in‑office on a hybrid schedule – team members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in‑office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
Salary Range The expected base pay range for this position in the Seattle area is $128,000 – $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. The range does not include potential equity offering, bonus, or benefits.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
#J-18808-Ljbffr