Data Scientist, Decisions - Driver

Key Skills

Data Analytics, Data pipelines, Data science techniques, Design, Effective communication skills, Python Programming, R Programming, SQL, Statistics

Job Description

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

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. 

As a Data Scientist, Decisions in the Driver team, you will leverage data and apply analytical thinking to shape our driver app 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, and other stakeholders to deliver products end-to-end. You will also collaborate with adjacent teams outside of Driver 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.

Responsibilities:

• Leverage data to provide insights around driver behavior and sentiment and identify improvement opportunities
• Apply analytics, inference and experimentation techniques to solve business problems
• Design and analyze experiments; communicate results to technical and non-technical audiences to act on launch decisions
• Establish metrics that measure the health of our driver products and driver experience
• Develop analytical frameworks and dashboards to monitor business and product performance
• Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
• Design and implement data pipelines to support data analysis and product implementation

Experience:

• 2+ years experience in a data science role or analytics role
• B.S. in economics, applied math, statistics, engineering or other quantitative fields, M.S. preferred
• 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 designing and analyzing A/B experiments, and communicating results and recommendations to cross functional stakeholders
• Demonstrated data analysis and problem-solving skills
• Strong oral and written communication skills (i.e, business writing, presentation building & delivery, executive briefings)
• Ability to build relationships and collaborate with cross-functional stakeholders to drive shared outcomes
• Experience working with ETL pipelines a plus

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Access to a Health Care Savings Account
• In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service 
• 4 Floating Holidays each calendar year prorated based off of date of hire
• 10 paid sick days per year regardless of province
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible