Data Scientist, Payments & Fraud Analytics (Hybrid)

Lyft; Toronto (OH); Hybrid; USD 78,000 - 97,000; Full time

Benefits offered by this job

Extended health & dental

Life insurance

Disability benefits

Mental health benefits

Family building benefits

Pet benefits

Lyft Health Savings Account

RRSP match

Flexible paid time off

Paid time off

Subsidized commuter benefits

Lyft ride credits

Job summary

Lyft is seeking a Data Scientist in the Pay, Integrity & Identity org to design experiments, build ML models, and translate insights into product decisions. You will collaborate with engineers, product managers, and other data scientists to strengthen pay platforms and curb fraud while maintaining a positive rider/driver experience.

Ideal candidates have 4–6+ years in data science, strong SQL, and programming skills in Python or R, plus excellent communication.

Qualifications

• 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

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

Skills

SQL proficiency

Python/R programming

Statistical analysis

Communication skills

Education

Degree in statistics, economics, applied math, operations research or engineering

Tools

Python

R

Job description

Lyft is seeking a Data Scientist in the Pay, Integrity & Identity org to design experiments, build ML models, and translate insights into product decisions. You will collaborate with engineers, product managers, and other data scientists to strengthen pay platforms and curb fraud while maintaining a positive rider/driver experience.

Ideal candidates have 4–6+ years in data science, strong SQL, and programming skills in Python or R, plus excellent communication.