Data Scientist, Algorithms, ML - Fulfillment at Lyft, Inc.

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

160000.0

Posted On

05 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Modeling, Optimization, Python, Data Analysis, Collaboration, Communication, Exploratory Data Analysis, Algorithm Development, Production Coding, Experiment Design, Data Visualization, Problem Solving, Cross-Functional Teamwork, Measurement Methodologies

Industry

Ground Passenger Transportation

Description

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 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 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 ability to collaborate and communicate with others to solve a problem Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match 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. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards 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. 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 The expected base pay range for this position in the New York City area is $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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Responsibilities

As a Data Scientist, you will leverage data and analytic frameworks to create and improve algorithms and models. You will collaborate with cross-functional teams to enhance algorithms for matching rideshare supply and demand in real time.