Company: Uber
Location: Toronto, ON
Expected salary:
Job date: Fri, 04 Jul 2025 01:26:06 GMT
Job description: Uber is looking for candidates to join the Driver Pricing team, a foundational part of the Mobility Marketplace, in the Toronto office. The team is central to the product development for one of Uber’s most critical systems: how we price trips for drivers. We use a diverse set of scientific methodologies-from machine learning and optimization to experimentation and causal inference-to help balance and grow the marketplace.About the TeamThe Driver Pricing team is looking for talented data scientists to help us tackle some of the most challenging and interesting problems at Uber. In this role, you will apply your quantitative skills in machine learning, statistics, and economics to improve the Uber user experience and the overall marketplace performance. You’ll be a key contributor to the team that designs, evaluates, and builds our systems for pricing trips for drivers.As a Data Scientist, you will support key business initiatives by conducting data analysis, assisting in model development, and analyzing experiments. You will work closely with other scientists, product managers, and engineers, contributing to our team’s mission and gaining invaluable hands-on experience in a fast-paced environment.What You’ll Do
- Assist in building and validating statistical and machine learning models under the guidance of senior scientists
- Conduct exploratory data analysis to identify trends and answer business questions
- Support the design and interpretation of A/B tests to measure the impact of product changes
- Prepare and clean large datasets for modeling and analysis
- Collaborate with teammates to implement data-driven solutions and contribute to reports and presentations
- Learn and apply new methodologies in data science, including modeling, analytics, and experimentation
Basic Qualifications
- Graduating or recently graduated with a Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields
- 0-2 years of relevant industry or internship experience
- Foundational knowledge of Python or R for data analysis
- Familiarity with SQL
Preferred Qualifications
- Relevant internship or project experience in data science, analytics, or a related field
- A solid understanding of fundamental concepts in statistics and machine learning
- Experience with data visualization tools
- A strong desire to learn, ask questions, and solve problems
- Good communication skills and the ability to work effectively in a team environment
- Exposure to A/B testing or experimental design concepts
For Canada-based roles: The base salary range for this role is CAD$114,000 per year – CAD$120,000 per year.You will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.