Data Scientist II / Sr. Data Scientist - FinTech

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Job Description

About the Role

We are looking for an experienced Data Scientist to join our FinTech - Data Science team and make meaningful contributions to our mission to streamline and optimize Uber’s financial infrastructure and processes. In this position, you have an outstanding opportunity to leverage advanced analytics and play a crucial role in building a wide array of financial systems, generating useful insights from data and improving our financial reporting processes.

Data Scientists focus on:

  • The analysis, manipulation, and visualization of data
  • Some data engineering/ETL (extract-transform-load) work
  • Provide product or business insights and strategy

We’ve noticed that the title Data Scientist represents a variety of work across the industry.If you're more passionate about building machine learning (ML) or econometric models, please check out the Applied Scientist roles on our career page!

What you will do:

You will shape the direction of Uber’s financial platforms by doing the following:

  • Collaborate cross-functionally to mine and analyze financial data and extract key trends / insights.
  • Build effective visualizations to communicate data to key decision-makers.
  • Build models to detect anomalies and resolve financial imbalances; investigate and resolve data discrepancies between systems.
  • Understand critical interdependencies across functions and divisions, and grasp the short and long-term trade-offs of business decisions.
  • Build end to end data pipelines and self serving dashboards. Automate whatever you can!
  • Get a detailed understanding about the FinTech systems and data flows involved
  • Document and train internal personnel to institutionalize the learnings of the data science practice.

Basic Qualifications

  • Bachelors, M.S. or equivalent degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
  • 3+ years of experience in Industry, working as a data scientist, product analyst, or equivalent
  • Experience in SQL as well as data wrangling experience in Python or R
  • Willingness to get your hands dirty with messy data to identify product opportunities and uncover interesting product insights
  • Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)

Preferred Qualifications

  • Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field
  • 6+ years industry experience in consumer facing data science
  • Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
  • Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
  • Critical-thinking and decision-making skills
  • Ability to solve complex business problems that cross multiple product/project areas and teams
  • Balance attention to detail with swift execution
  • Prior experience within the finance or related industries is a bonus

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

Company Info.


Uber, is an American mobility as a service provider based in San Francisco, with operations in over 900 metropolitan areas worldwide. Its services include ride-hailing, food delivery (Uber Eats and Postmates), package delivery, couriers, freight transportation, electric bicycle and motorized scooter rental via a partnership with Lime, and ferry transport in partnership with local operators. Uber does not own any vehicles.

  • Industry
    Automotive,Autonomous technology
  • No. of Employees
  • Location
    San Francisco, CA, USA
  • Website
  • Jobs Posted

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