About this role
Building and maintaining the processing logic and pipelines that turn raw inputs into trusted, analysis-ready data forms the core of daily operations for this role. The Metrics team sits within the Central Market Management organization at Lyft, owning the crucial business metrics that company leaders use to run the marketplace and guiding standardized definitions across the entire organization.
Reporting to a Data Science Manager, the incoming specialist will own a domain within the team's surface area and gain significant executive exposure along the way. Ideal candidates are intellectually curious professionals with strong attention to detail, a solid track record of analytical problem-solving, and skilled communication abilities.
What you will do
- Own one or more domain datasets end-to-end, moving from source data through to the metrics that consumers rely upon daily.
- Build and maintain the processing logic and pipelines that transform raw inputs into trusted, analysis-ready data.
- Own the business metrics derived from that data, developing a deep understanding of the source needed to build each metric correctly.
- Ensure data accuracy, consistency, and reliability by implementing quality checks that catch problems before consumers see them.
- Deliver data and metrics to stakeholders in a usable form and support them as they integrate these insights into decisions.
- Partner with product managers, engineers, and operators to translate data into decisions and concrete action.
- Communicate findings to stakeholders in a clear and concise manner.
What you need
- Hold a degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering, or possess relevant work experience.
- Bring 3 or more years of industry experience working in a data science or analytics role.
- Demonstrate proficiency in SQL with the ability to write structured and efficient queries on large datasets.
- Possess programming experience, particularly with data science and visualization libraries in Python or R.
- Exhibit strong oral and written communication skills alongside the ability to collaborate with and influence cross-functional partners.
Nice to have
- Advanced degrees in a quantitative field
Benefits
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health, family building, child care, and pet benefits
- Access to a Lyft funded Health Care Savings Account and an RRSP plan with company match
- Flexible paid time off policy for salaried team members allowing as much time as needed with manager approval
- 18 weeks of paid time off for new parents designed as a top-up plan to complement provincial programs
- Subsidized commuter benefits and Lyft ride credits
Skills and tech stack
Questions candidates ask
What is the remote or in-office policy for this role?
This role follows a hybrid schedule where team members work in the office at least 3 days per week, specifically on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.
What is the expected salary range for the Toronto area?
The expected base pay range for this position in the Toronto area is CAD $108,000 to CAD $135,000, not inclusive of potential equity offering, bonus, or benefits. Salary ranges depend on factors including qualifications, experience, and geographic location.
What technical skills are required?
The position requires proficiency in SQL with the ability to write structured and efficient queries on large datasets, as well as programming experience with data science and visualization libraries in Python or R.
Does Lyft use artificial intelligence in the hiring process?
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.