# Data Scientist, Decisions - Payments

**Company**: Lyft
**Location**: Toronto, ON
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/lyft/jobs/8907156002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_dff259cc-18d

## Description

As a Data Scientist in the Pay, Integrity & Identity org at Lyft, you will collaborate with a world-class team of engineers, product managers, analysts, and other data scientists to build best-in-class payment experiences for Lyft drivers.

Your work will sit at the intersection of financial systems and driver experience, ensuring drivers are paid accurately, quickly, and fairly, while protecting the integrity of Lyft's pay platform.

You will run experiments (A/B tests) and develop data-driven solutions to launch new payout features, improve earnings transparency, and maintain a trustworthy platform experience for the driver community.

### Responsibilities:

- Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions

- Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models

- Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes

- Partner with product managers, engineers, and operators to translate analytical insights into decisions and action

- Build data pipelines and develop analytical frameworks to monitor business and product performance

- Set business metrics that measure the health of our products, as well as passenger and driver experience

- Collaborate 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

- 4-6+ 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

- Strong oral and written communication skills, and 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

- Child care and pet benefits

- Access to a Lyft funded Health Care Savings Account

- RRSP plan to help save for your future

- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service

- Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.

- Subsidized commuter benefits

## Skills

### Required
- SQL
- Python
- R
- machine learning
- statistical techniques
- data analysis
- communication

### Nice to have
- fintech
- fraud
- identity

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/lyft/jobs/8907156002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)