Data Scientist II, Product Analytics

About the Role

We are looking for a data scientist to join the Customer Obsession Data Science team in Uber Bangalore. This team is colocated with CO engineering, product, and, design teams and is at the heart of Uber's focus to provide world-class customer support experiences both in-app and other live channels.

The role requires deep knowledge of A/B testing (experimentation), product analytics, advanced statistics, causal inferential techniques, and, some knowledge about machine learning would be preferred.

The ideal candidate will be working closely with product managers, mobile and backend engineers to create and execute the direction of the product development. This will include providing an end-to-end data science workflow that includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

The candidate will be working closely with product managers, mobile and backend engineers to create and execute the direction of the product development. This will include providing an end-to-end data science workflow that includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation.

Basic Qualifications

• Bachelors (B. Tech.) in Engineering, or Masters in Quantitative Fields (Statistics, Operations Research, Economics).

Preferred Qualifications

• SQL, A/B Testing (Experimentation), Statistics, Product Analytics.

Good to have: Econometrics, Tableau (or any dashboarding skill),

Experience from Product companies will be useful.

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 accommodations@uber.com.