Senior Data Scientist, Mobility New Verticals

Data Scientist, Data Science

New York, New York | Seattle, Washington | San Francisco, California | Sunnyvale, California

About the Role
Mobility New Verticals is one of the most exciting teams in Uber. Here we incubate and grow new ideas, find product market fit, and scale products 0->1->100 (multi-billion dollars in revenue). This unique team is the growth engine of Uber, with the innovation-speed and feel of a startup inside a stable and mature company. We are looking for a Senior Data Scientist to understand long term user behavior to power this growth engine. This is a unique opportunity to model user behavior at the planet scale.

What the Candidate Will Do

• Prototype and productionize new models and approaches to model customer behavior, with focus on long term impact of consumer actions and experiences by using Uber's planet scale data.
• Derive clear and actionable insights from your models and analyses, and communicate them to your stakeholders and business leaders to shape business strategy.
• Incorporate models in the broader framework of algorithmic decision making at Uber, influencing millions of outcomes and impacting the lives of millions of Uber users every day.
• 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

• M.S., or Bachelor's degree in Economics, Operations Research, or a related quantitative field (e.g., Statistics, Applied Mathematics, Computer Science with a strong modeling focus).
• Minimum 4 years of relevant industry experience as a Data Scientist, Applied Scientist, or equivalent (Minimum 2 years if holding a Ph.D.).
• Strong foundations in causal inference, experimental design and econometrics.
• Excellent analytical skills, with experience extracting user behavior insights from large datasets.
• Knowledge of underlying mathematical foundations of statistics, optimization and economics.
• Proficiency with Python for exploratory data analysis and modeling, and modern ML tools such as pytorch, tensorflow etc.
• Strong ability to communicate with technical and nontechnical audiences.

Preferred Qualifications

• Minimum 5 years of relevant industry experience as a Data Scientist, Applied Scientist, or equivalent.
• PhD in quantitative fields such as Statistics, Economics, OR, Engineering, Physics, etc.
• Proficiency in Python and the modern model development frameworks such as pytorch etc.
• Experience in LTV (Life Time Value) modeling, causal inference from observational data and choice modeling.
• Experienced in using AI to hypercharge productivity and delivering 10x impact.
• Exceptional communication skills across technical, non-technical, and executive audiences.

Salary Information
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of compensation. You will also be eligible for various benefits. More details can be found at the following link.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.