Data Scientist - Decisions (Compensation, Identity & Integrity)

Data Scientist - Decisions (Pay, Identity & Integrity)

At Lyft, our mission is to enhance people's lives with the world's superior transportation. To realize this, we begin with our community by cultivating an open, inclusive, and diverse institution.

As a Data Scientist in the Pay, Integrity & Identity organization, you will collaborate with our exceptional engineers, product managers, analysts, and other data scientists to help establish top-tier pay platforms, prevent fraudulent individuals from damaging our riders & drivers, and instill user trust in the Lyft platform. You will conduct tests (A/B tests) and devise data-driven solutions to introduce new features and eliminate harmful actors from the Lyft platform while ensuring a favorable experience for authentic users. We're seeking an intellectually engaged individual with exceptional attention to detail, a history of analytical problem-solving, and proficient communication.

Responsibilities

• Design and analyze experiments in partnership with other scientists, product & engineering; communicate results to stakeholders and facilitate launch decisions
• Utilize advanced statistical techniques to generate quantitative insights and develop machine learning models
• Examine a wide variety of signals available to identify patterns in large datasets and discover root causes
• Collaborate with product managers, engineers, and operators to convert analytical insights into decisions and action
• Establish data pipelines and develop analytical frameworks to monitor business and product performance
• Define business metrics that evaluate the health of our products, as well as passenger and driver experience
• Co-work with product and engineering and communicate findings to stakeholders in a clear and concise manner

Experience 

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
• Prior experience in the fintech, fraud, or identity space is preferred
• 4-6+ years of industry experience in a data science or analytical role. 
• Proficiency in SQL – ability to write structured and efficient queries on large datasets
• Experience in programming, especially with data science and visualization libraries in Python or R
• Strong oral and written communication skills, and the ability to collaborate with and influence cross-functional partners 

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
• On top of provincially observed holidays, team members receive 15 days paid time off, with an extra day for each year of service 
• 4 Floating Holidays each calendar year prorated based on the hire date
• 10 paid sick days per year regardless of the province
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Lyft proudly seeks and employs a diverse workforce. Lyft believes that everyone has a right to equal employment opportunities without discrimination due to race, ancestry, place of origin, color, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offenses, or any other basis protected by applicable law or by Company policy. Lyft also aims for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for individuals with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. If you wish to make such a request, please contact your recruiter now.

This role will be in-office on a hybrid schedule following the establishment of a Lyft office in Toronto — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays, and a team-specific third day. In addition, hybrid roles provide the flexibility to work from anywhere for up to 4 weeks per year.