Data Scientist, Decisions - Mapping

Lyft; San Francisco (CA); Hybrid; USD 128,000 - 160,000; Full time

Job summary

A leading company is seeking a Data Scientist for their Mapping team in San Francisco. The role involves leveraging data to enhance mapping products and improve the navigation experience for rideshare drivers. The ideal candidate will collaborate with engineers and product managers, using data to inform decisions and design experiments. Candidates should have a degree in a quantitative field and experience in data science, particularly with SQL and programming in Python or R. The position offers a hybrid work schedule and competitive benefits.

Benefits

Medical, dental, and vision insurance

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) plan

Paid time off

Paid parental leave

Subsidized commuter benefits

Exclusive team member benefits

Qualifications

• 3+ years of industry experience in a data science or analytical role.
• Proficiency in SQL and programming, especially with data science libraries.

Responsibilities

• Leverage data and analytic frameworks to identify opportunities.
• Design and analyze online experiments; communicate results.
• Establish metrics that measure product health.

Skills

SQL

Python

R

Statistical Analysis

Communication

Education

Degree in a quantitative field

Job description

Join to apply for the Data Scientist, Decisions - Mapping role at Lyft

Join to apply for the Data Scientist, Decisions - Mapping role at Lyft

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.

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 Lyft’s in-house mapping product, Lyft Maps. 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 design a frictionless navigation experience for rideshare drivers?
• Are drivers able to follow our guidance? How can we categorize and prioritize navigation issues on our platform?
• What defines a good pick-up experience between a rider and a driver?
• How do we benchmark and measure the success of map services?
  
  

Responsibilities

• Leverage data and analytic frameworks to identify opportunities for growth and efficiency
• Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
• Design and analyze online experiments; communicate results and act on launch decisions
• Develop analytical frameworks to monitor business and product performance
• Establish metrics that measure the health of our products, as well as rider and driver experience
  
  

Experience

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
• 3+ years of industry experience in a data science or analytical role
• 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
• Experience in online experimentation and statistical analysis
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
  
  

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 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
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
  
  

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 San Francisco area is $128,000 - $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Total compensation is 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

Referrals increase your chances of interviewing at Lyft by 2x

Get notified about new Data Scientist jobs in San Francisco County, CA.

Data Scientist, Consumer Research & Marketing

Data Scientist, Decisions - New Product Development

New York, NY $145,000.00-$204,000.00 1 week ago

San Francisco, CA $140,000.00-$215,000.00 1 month ago

Sr. Data Scientist, Analytics - Core Product

Machine Learning Engineer (Weather/DL/ Meteorology)

San Francisco, CA $150,000.00-$250,000.00 2 weeks ago

Machine Learning Researchers (Open-Endedness) - Open Level

San Francisco, CA $55.00-$65.00 5 days ago

Data Scientist, Algorithms - Primetime Pricing

San Francisco, CA $135,000.00-$200,000.00 2 months ago

Staff Data Scientist, Decisions - New Product Development

Data Scientist, Customer Analytics & VoC

Machine Learning Engineer, AI/ML for Drug Discovery

Partner Data Scientist, Growth Partnerships

San Francisco, CA $130,000.00-$230,000.00 4 months ago

New York, NY $206,000.00-$281,000.00 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.