Lyft

<p>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.</p>
<p>Data Science is at the heart of Lyft’s products and decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. </p>
<p>As a Data Scientist, Decisions in the Rider team, you will leverage data and apply analytical thinking and inference to shape our rider and partner product vision and make business decisions that put our customers first. You will identify improvement opportunities, propose and implement technical solutions, design experiments, and measure the impact of your team’s decisions. You will partner closely with product, engineering, design, research, marketing and business development to deliver products end-to-end. You will also collaborate and build alignment with adjacent teams outside of Rider to balance driver, rider and marketplace needs. We’re looking for well-rounded, passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Drive roadmap across Rider Segments, Loyalty and Partnerships teams. Be a primary participant in defining team goals and setting the priorities of projects for the team to address.</li>
<li>Partner with org leads in product, engineering, UX research, design and marketing to initiate, design, develop and scale zero-to-one products and drive business strategy through data-centric presentations</li>
<li>Define and maintain key objectives to align with the overarching goals of Rider, Marketplace and Lyft.</li>
<li>Apply modeling, advanced analytics, experimentation and causal inference techniques to drive decision-making at Lyft.</li>
<li>Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations</li>
<li>Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams</li>
<li>Provide technical guidance and mentorship to junior team members on solution design, implementation, as well as lead code reviews.</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>M.S. and at least 6 or Ph.D. and at least 4 years of relevant work experience</li>
<li>Degree in economics, applied math, statistics, engineering or other quantitative fields; strong preference for M.S.+</li>
<li>Proficiency in SQL - able to write structured and efficient queries on large data sets</li>
<li>Fluency in programming, especially with data science and visualization libraries in Python or R</li>
<li>Technical leadership experience with a team of decisions and algorithms data scientists, interfacing VP or C-level executives.</li>
<li>Experience designing and analyzing complex A/B experiments, and communicating results and recommendations to cross-functional stakeholders</li>
<li>Strong oral and written communication skills (i.e, business writing, presentation building &amp; delivery, executive briefings)</li>
<li>Ability to build relationships and collaborate with senior cross-functional stakeholders to drive shared outcomes</li>
<li>Experience working with ETL pipelines a plus</li>
</ul>
<h2><strong>Benefits:</strong><strong><br /></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>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.</p>
<p>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</p>
<p>The expected base pay range for this position in the New York City area is $176,000 - $220,000, 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.</p>

Staff Data Scientist

<p>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.</p>
<p>Data Science is at the heart of Lyft’s products and decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. </p>
<p>As a Data Scientist, Decisions in the Rider team, you will leverage data and apply analytical thinking and inference to shape our rider and partner product vision and make business decisions that put our customers first. You will identify improvement opportunities, propose and implement technical solutions, design experiments, and measure the impact of your team’s decisions. You will partner closely with product, engineering, design, research, marketing and business development to deliver products end-to-end. You will also collaborate and build alignment with adjacent teams outside of Rider to balance driver, rider and marketplace needs. We’re looking for well-rounded, passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Drive roadmap across Rider Segments, Loyalty and Partnerships teams. Be a primary participant in defining team goals and setting the priorities of projects for the team to address.</li>
<li>Partner with org leads in product, engineering, UX research, design and marketing to initiate, design, develop and scale zero-to-one products and drive business strategy through data-centric presentations</li>
<li>Define and maintain key objectives to align with the overarching goals of Rider, Marketplace and Lyft.</li>
<li>Apply modeling, advanced analytics, experimentation and causal inference techniques to drive decision-making at Lyft.</li>
<li>Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations</li>
<li>Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams</li>
<li>Provide technical guidance and mentorship to junior team members on solution design, implementation, as well as lead code reviews.</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>M.S. and at least 6 or Ph.D. and at least 4 years of relevant work experience</li>
<li>Degree in economics, applied math, statistics, engineering or other quantitative fields; strong preference for M.S.+</li>
<li>Proficiency in SQL - able to write structured and efficient queries on large data sets</li>
<li>Fluency in programming, especially with data science and visualization libraries in Python or R</li>
<li>Technical leadership experience with a team of decisions and algorithms data scientists, interfacing VP or C-level executives.</li>
<li>Experience designing and analyzing complex A/B experiments, and communicating results and recommendations to cross-functional stakeholders</li>
<li>Strong oral and written communication skills (i.e, business writing, presentation building &amp; delivery, executive briefings)</li>
<li>Ability to build relationships and collaborate with senior cross-functional stakeholders to drive shared outcomes</li>
<li>Experience working with ETL pipelines a plus</li>
</ul>
<h2><strong>Benefits:</strong><strong><br /></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>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.</p>
<p>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</p>
<p>The expected base pay range for this position in the San Francisco area is $176,000 - $220,000, 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.</p>

<p>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.</p>
<p>Lyft Ads is one of Lyft’s newest and fastest-growing businesses, focused on building the world’s largest transportation media network. Our mission is to help brands reach riders during key moments of their journey—before, during, and after a ride—by delivering meaningful, contextually relevant ad experiences. We operate at the intersection of mobility data, real-time decision systems, and AI-powered personalization, enabling advertisers to run high-impact campaigns with measurable outcomes.</p>
<p>The Pricing team is a centerpiece of Lyft’s marketplace. The team owns the models and software systems that determine the final prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. Planned Pricing is a fast-growing team within Pricing, focused on setting the most efficient price targets to drive both short term and long term business outcomes.</p>
<p>As a Data Scientist specializing in Algorithms on the Planned Pricing team, you will develop mathematical models for core pricing systems and address diverse problems across optimization, prediction, machine learning, and inference. You will collaborate with cross-functional teammates and stakeholders to enhance algorithms, build and scale our systems, and drive business growth. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions and decisioning frameworks. In this role, you will report to a Data Science Manager.</p>
<h2>Responsibilities:</h2>
<ul>
<li>Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context</li>
<li>Prioritize and lead deep dives into our data to uncover new product and business opportunities</li>
<li>Be familiar with production code; collaborate with Software Engineers to implement algorithms and models in production</li>
<li>Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization</li>
<li>Establish metrics that measure the health of our products, as well as rider and driver experience</li>
<li>Drive collaboration and coordination with cross-functional teams</li>
<li>Provide coaching and technical guidance for other teammates</li>
</ul>
<h2>Experience:</h2>
<ul>
<li>Ph.D. in Operations Research, or other quantitative fields or related work experience</li>
<li>Proven experience with building and evaluating optimization models</li>
<li>Proficiency with Python and working in a production coding environment</li>
<li>Passion for solving unstructured and non-standard mathematical problems</li>
<li>End-to-end experience with data, including querying, aggregation, analysis, and visualization</li>
<li>Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem</li>
</ul>
<h2><strong>Benefits:</strong><strong><br /></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>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.</p>
<p>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</p>
<p>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.</p>

Data Scientist, Optimization - Pricing

<p>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.</p>
<p>Data Science is at the heart of Lyft's products and decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world's best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building the machine learning models and algorithms that power our internal and external products.</p>
<p>The Forecasting and Real-Time Optimization Platform (FORTOP) team in Lyft's Rideshare Experience &amp; Marketplace (REM) org provides reliable, real-time market supply and demand signals and forecasts that power the systems making critical automated decisions for Lyft's business. These signals feed many of Lyft's most important marketplace products, including Dynamic Pricing, Real-Time Supply Management, Fulfillment, etc. As a Senior Data Scientist on FORTOP, you will improve marketplace efficiency by designing, training, and applying machine learning models that deliver accurate real-time and forecast signals under dynamic conditions. We're looking for a driven Senior Data Scientist who is passionate about solving challenging problems with machine learning, and who is excited to work in a fast-paced, innovative, and cross-functional environment where they will take on some of the most interesting and impactful modeling problems in ridesharing.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context, and shape roadmaps across cross-functional teams</li>
<li>Perform exploratory data analysis to gain a deeper understanding of the problem and the marketplace</li>
<li>Develop, fit, and evaluate time series forecasting and machine learning models</li>
<li>Write production model code; collaborate with Software Engineers to implement and scale models and algorithms in production, with attention to correctness, efficiency, consistency, and technical debt</li>
<li>Design and implement both simulated backtesting and live experiments; analyze experimental and observational data, communicate findings, and facilitate launch decisions</li>
<li>Define and uplevel monitoring of model and signal health; build and scale tooling that improves the efficiency of operational tasks\</li>
</ul>
<h2><strong>Experience</strong>:</h2>
<ul>
<li>M.S. or Ph.D. in Statistics, Mathematics, Economics, Operations Research, Computer Science, or other quantitative fields or related work experience</li>
<li>5+ years professional experience in a technology company setting involving a product </li>
<li>Proven experience with building and evaluating time series forecasting and machine learning models, ideally in real-time or large-scale production settings</li>
<li>Strong grasp of core ML fundamentals — feature engineering, model evaluation, and managing the bias-variance tradeoff</li>
<li>Proficiency with Python and modern ML libraries, and experience working in a production coding environment</li>
<li>End-to-end experience with data, including querying, aggregation, analysis, and visualization</li>
<li>Passion for solving unstructured and non-standard mathematical problems</li>
<li>Strong written and verbal communication; ability to align stakeholders and influence outcomes through reasoning and data</li>
</ul>
<h2><strong>Benefits:</strong><strong><br /></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>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.</p>
<p>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</p>
<p>The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, 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.</p>

Senior Data Scientist, Marketplace

<p>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.</p>
<p>Data Science is at the heart of Lyft's products and decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world's best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building the machine learning models and algorithms that power our internal and external products.</p>
<p>The Forecasting and Real-Time Optimization Platform (FORTOP) team in Lyft's Rideshare Experience &amp; Marketplace (REM) org provides reliable, real-time market supply and demand signals and forecasts that power the systems making critical automated decisions for Lyft's business. These signals feed many of Lyft's most important marketplace products, including Dynamic Pricing, Real-Time Supply Management, Fulfillment, etc. As a Senior Data Scientist on FORTOP, you will improve marketplace efficiency by designing, training, and applying machine learning models that deliver accurate real-time and forecast signals under dynamic conditions. We're looking for a driven Senior Data Scientist who is passionate about solving challenging problems with machine learning, and who is excited to work in a fast-paced, innovative, and cross-functional environment where they will take on some of the most interesting and impactful modeling problems in ridesharing.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context, and shape roadmaps across cross-functional teams</li>
<li>Perform exploratory data analysis to gain a deeper understanding of the problem and the marketplace</li>
<li>Develop, fit, and evaluate time series forecasting and machine learning models</li>
<li>Write production model code; collaborate with Software Engineers to implement and scale models and algorithms in production, with attention to correctness, efficiency, consistency, and technical debt</li>
<li>Design and implement both simulated backtesting and live experiments; analyze experimental and observational data, communicate findings, and facilitate launch decisions</li>
<li>Define and uplevel monitoring of model and signal health; build and scale tooling that improves the efficiency of operational tasks\</li>
</ul>
<h2><strong>Experience</strong>:</h2>
<ul>
<li>M.S. or Ph.D. in Statistics, Mathematics, Economics, Operations Research, Computer Science, or other quantitative fields or related work experience</li>
<li>5+ years professional experience in a technology company setting involving a product </li>
<li>Proven experience with building and evaluating time series forecasting and machine learning models, ideally in real-time or large-scale production settings</li>
<li>Strong grasp of core ML fundamentals — feature engineering, model evaluation, and managing the bias-variance tradeoff</li>
<li>Proficiency with Python and modern ML libraries, and experience working in a production coding environment</li>
<li>End-to-end experience with data, including querying, aggregation, analysis, and visualization</li>
<li>Passion for solving unstructured and non-standard mathematical problems</li>
<li>Strong written and verbal communication; ability to align stakeholders and influence outcomes through reasoning and data</li>
</ul>
<h2><strong>Benefits:</strong><strong><br /></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>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.</p>
<p>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</p>
<p>The expected base pay range for this position in the Seattle area is $136,160 - $170,200, 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.</p>

Lyft

Open jobs at Lyft

Staff Data Scientist

Staff Data Scientist

Data Scientist, Optimization - Pricing

Senior Data Scientist, Marketplace

Senior Data Scientist, Marketplace

Working for Lyft?

Featured companies