Top Benefits
Medical, dental, vision insurance
Mental health benefits
Unlimited paid time off (12 holidays + PTO)
About the role
Who you are
- Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
- 3+ years experience in a data science role or analytics role
- Demonstrated ability to own multi-project analytical scopes with ambiguous problem definitions and cross-functional integration
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- Experience in programming, especially with data science and visualization libraries in Python or R, and machine learning libraries such as PyTorch, TensorFlow, Keras
- Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
- Strong communication, critical thinking, and prioritization skills, including the ability to challenge assumptions, propose alternatives, and balance short-term vs. long-term tradeoffs
- Experience in applying machine learning techniques is a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
- Expertise in metric design, causal analysis, behavioral analytics, decision frameworks and measurement strategy is a plus
- Experience working with ETL pipelines a plus
What the job involves
- As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations
- We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers
- Data Science is at the heart of Lyft’s products and decision-making
- You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first
- This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features
- You will help us solve some of the most impactful problems in mapping, including:
- How do we improve the quality of our map data in order to improve our recommendations?
- How do we benchmark and measure the success of our services?
- How do we validate features of the real world that affect our routing algorithms?
- Are we meeting our travel estimation promises to our customers?
- Leverage data and analytic frameworks to identify opportunities for growth and efficiency
- Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
- Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty
- Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope
- Design and analyze online experiments; communicate results and act on launch decisions
- Establish metrics that measure the health of our products, as well as rider and driver experience
- Identify and drive impact and alignment, shaping product and business strategy through data-centric presentations
- Contribute to the Science community (hiring, onboarding, documentation, knowledge-sharing, tooling improvements), helping make Decision Science at Lyft more effective and scalable
Benefits
- Great medical, dental, and vision insurance options
- Mental health benefits
- In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
- 401(k) plan to help save for your future
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Pre-tax commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
About Lyft
Ground Passenger Transportation
10,000+
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.
Similar jobs you might like
Top Benefits
Medical, dental, vision insurance
Mental health benefits
Unlimited paid time off (12 holidays + PTO)
About the role
Who you are
- Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
- 3+ years experience in a data science role or analytics role
- Demonstrated ability to own multi-project analytical scopes with ambiguous problem definitions and cross-functional integration
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- Experience in programming, especially with data science and visualization libraries in Python or R, and machine learning libraries such as PyTorch, TensorFlow, Keras
- Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
- Strong communication, critical thinking, and prioritization skills, including the ability to challenge assumptions, propose alternatives, and balance short-term vs. long-term tradeoffs
- Experience in applying machine learning techniques is a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
- Expertise in metric design, causal analysis, behavioral analytics, decision frameworks and measurement strategy is a plus
- Experience working with ETL pipelines a plus
What the job involves
- As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations
- We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers
- Data Science is at the heart of Lyft’s products and decision-making
- You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first
- This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features
- You will help us solve some of the most impactful problems in mapping, including:
- How do we improve the quality of our map data in order to improve our recommendations?
- How do we benchmark and measure the success of our services?
- How do we validate features of the real world that affect our routing algorithms?
- Are we meeting our travel estimation promises to our customers?
- Leverage data and analytic frameworks to identify opportunities for growth and efficiency
- Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
- Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty
- Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope
- Design and analyze online experiments; communicate results and act on launch decisions
- Establish metrics that measure the health of our products, as well as rider and driver experience
- Identify and drive impact and alignment, shaping product and business strategy through data-centric presentations
- Contribute to the Science community (hiring, onboarding, documentation, knowledge-sharing, tooling improvements), helping make Decision Science at Lyft more effective and scalable
Benefits
- Great medical, dental, and vision insurance options
- Mental health benefits
- In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
- 401(k) plan to help save for your future
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Pre-tax commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
About Lyft
Ground Passenger Transportation
10,000+
Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.