Sr Scientist - Mobility Matching Science

Uber; Toronto; On-site; CAD 164,000 - 182,000; Full time

Job summary

A leading technology company in Toronto seeks a Mid-Senior level Sr Scientist to develop data-driven business insights and contribute to optimization models. The ideal candidate will have a Ph.D. or equivalent in a quantitative field and industry experience as an Applied or Data Scientist. This full-time role offers a base salary range of CAD$164,000 - CAD$182,000 per year, with a collaborative environment and focus on impactful problem-solving.

Benefits

Eligible for bonus program

Potential equity awards

Comprehensive benefits package

Qualifications

• Minimum 1 year of industry experience as an Applied or Data Scientist.
• Proficient in Python / R to work efficiently at scale.
• Knowledge of experimental design and analysis.

Responsibilities

• Develop data-driven business insights with cross-functional stakeholders.
• Design and analyze experiments, communicating actionable conclusions.
• Analyze and contribute to optimization algorithms and ML models.

Skills

Causal inference

Analysis

Experimentation

Modeling

Python

R

Optimization

Education

Ph.D., M.S. or Bachelor's degree in a quantitative field

Tools

Tableau

Mixpanel

Looker

Job description

Sr Scientist - Mobility Matching Science

Join to apply for the Sr Scientist - Mobility Matching Science role at Uber

About The Role

Have you ever wondered why it's taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Science team is for you!

The Matching team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.

We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber's scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as an ability to use these skills to identify business opportunities and deliver product recommendations.

What You'll Do

1. Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
2. Design and analyze experiments, communicating results that draw detailed and actionable conclusions
3. Analyze and contribute to development of optimization algorithms and ML models for use in mobility matching
4. Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
• Minimum 1 year of industry experience as an Applied or Data Scientist or equivalent.
• Proficient in Python / R to work efficiently at scale with large datasets
• Knowledge of experimental design and analysis (A / B, Switchbacks, Synthetic Control, Diff in Diff etc)
• Experience with exploratory data analysis, statistical analysis and testing, and model development

Preferred Qualifications

• Ability to work independently
• Good communication skills across technical, non-technical and executive audiences
• Have a growth mindset; love solving ambiguous, ambitious and impactful problems
• Experience in optimization and/or algorithm development
• Experience with dashboard/data visualization tools (e.g., Tableau, Mixpanel, Looker or similar)
• Experience working on online experiments

For Canada-based roles: The base salary range is CAD$164,000 - CAD$182,000 per year. For San Francisco, CA-based roles: The range is USD$183,000 - USD$203,000 per year. All US locations: Eligible for Uber's bonus program, potential equity awards, and other benefits. More details at Uber Careers Benefits.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Research, Analyst, and Information Technology

Industries: Internet Marketplace Platforms