About the Role
Shape the Future of Uber's Financial Data!
Are you excited by the challenge of building high-impact financial models, solving complex data problems, and working at the intersection of finance, data science, and machine learning? If so, we've got the perfect role for you!
The FinTech - Data Science team at Uber is on the lookout for an exceptional Data Scientist to join our Finance Data Store (FDS) team in Hyderabad, India. This is not just another data science role-you will be at the core of Uber's financial data ecosystem, driving automation, anomaly detection, and financial forecasting that power Uber's global operations.
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In this role, you'll work hand-in-hand with Finance, Engineering, Data Science, Product and Operations teams to turn raw financial data into meaningful insights and strategic decisions. You'll build cutting-edge machine learning models, develop financial forecasting tools, and create scalable, automated data pipelines that fuel Uber's financial strategy.
If you're a data powerhouse with a passion for financial modeling, analytics, and automation, this is your chance to make a massive impact at a company that moves millions of people every day.
Why Join Us?
The Finance Data Store (FDS) team sits at the heart of Uber's financial ecosystem, influencing high-impact decisions across Finance, Operations, and Data Science. We're the data backbone of Uber's financial strategy, ensuring our numbers are accurate, scalable, and automated.
If you love diving deep into financial data, driving innovation through machine learning, and collaborating with world-class teams, this is the place to be.
Join us and shape the future of Uber's financial data infrastructure!
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.