About the Role
At Uber, we empower millions of people to earn and get services on the platform. We help the world move, and do this at an impressive scale. However, this is not always smooth for our customers, sometimes they need help as they may be new to our platform, or would have encountered a unique situation, and sometimes things just don't work the way they are expected to. That's when they reach out to us for help, and these support experiences are built and turned magical by the Customer Obsession team at Uber.
This role is within the Customer Obsession Data Science team. We are a bunch of talented, passionate and driven folks that use science to drive strategic & tactical decisions which ensure best in-class support experiences at the lowest cost. We get to build, test and generate insights from cutting edge technologies including GenAI/LLM/Bots.
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Does this sound exciting to you? Are you a tested problem solver, executor & team-player? We want to hear from you.
We are currently looking to hire for the role of "Data Scientist I" in Bangalore within the above scope, where one will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions including A/B testing frameworks, Causal inferences, Monitoring solutions & Analytical frameworks.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to ->
- Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform
- Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring.
- Proactively communicate insights and drive projects to drive towards team goals
- Ensure data quality across critical pipelines and to set up processes to triage data issues
- Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health
- Seek out opportunities to build new solutions to tackle Customer & Business pain points
---- Basic Qualifications ----
- 2+ years of work experience with a Bachelor's Degree OR 1+ years of work experience with a Master's Degree. Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science
- Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
- Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python
- Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries
---- Preferred Qualifications ----
- SQL mastery. Write efficient and complex code in SQL
- Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred
- Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus
- Proven ability to handle and visualise large datasets, explore and utilise raw data feeds
- Love of data - One should have the zeal to just go get the required data and turn it into an insightful story
- Ability to build a structured approach to problem-solving that leads to high quality hypotheses
- Strong sense of ownership, accountability, and entrepreneurial spirit
- Effective communicator & proactive collaborator
- Independent & autonomous, while still a strong team player
- Enthusiastic, self-starting and thrives in changing, agile environments
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.