Data Scientist, Decisions - Mapping

Lyft

Lyft is committed to fostering an inclusive and diverse community. The Data Scientist will collaborate with a team of engineers, product managers, and designers to enhance Lyft Maps. This role is crucial for delivering frictionless navigation for rideshare drivers through data-driven insights.

In this role you can expect to have the responsibilities:

• Utilize data and analytic frameworks to identify growth opportunities.
• Collaborate with cross-functional teams for data-driven decision making.
• Design and analyze experiments, reporting on outcomes.
• Develop frameworks to monitor business and product performance.
• Establish metrics for product health and user experience.

This role comes with the following benefits:

• Extended health and dental coverage.
• Life insurance and disability benefits.
• Mental health support.
• Family building benefits and child care support.
• Pet benefits.
• Access to a Health Care Savings Account.
• RRSP plan.
• Flexible paid time off policy for salaried employees; 15 days off for hourly workers.
• 18 weeks of paid parental leave for all types of parents.
• Subsidized commuter options.

This role requires you to have:

• Degree in a quantitative field such as statistics, economics, applied math, operations research, engineering or relevant experience.
• 3+ years of experience in data science or analytical roles.
• Proficiency in SQL for efficient data querying.
• Experience in data science programming with Python or R.
• Expertise in online experimentation and statistical analysis.
• Strong communication and cross-functional collaboration skills.

You would benefit from having:

Lyft is committed to providing a diverse and inclusive workplace, offering equal employment opportunities. They provide accommodations for disabilities upon request. The hybrid work schedule requires three office days per week, with an option for remote work for up to four weeks annually. This reflects Lyft's commitment to work-life balance and employee well-being.