What’s Uber like in terms of their business, the role, and the work culture?

Well, the main focus is really about shaping how Uber tracks its financial data and optimizes its financial performance. You’ll be working on building scalable financial data products, developing predictive models, and improving reporting workflows. Plus, you’ll lead a small team of data scientists, which is pretty exciting!

You’ll need at least a Bachelor’s or Master’s degree in a quantitative field like Data Science, Computer Science, or Finance. Also, having a minimum of 4 years of experience as a data scientist is important, along with some leadership experience managing a small team. Proficiency in SQL and a programming language like Python or R is also a must.

Actually, it’s preferred if you have experience in finance or a related domain, especially with developing forecasting or anomaly detection models. If you’ve got at least a year of tech leading or managerial experience in that area, that would definitely be a plus!

You’ll be collaborating closely with teams in finance, engineering, product, and more. The role involves designing and prototyping end-to-end data science solutions, so teamwork is key! You’ll be working with a variety of stakeholders to ensure the solutions meet everyone’s needs.

For this role in San Francisco, the base salary range is between $169,000 and $188,000 per year. Plus, you’ll have the chance to participate in Uber’s bonus program and may receive equity awards and other benefits, which is pretty nice!