Data Scientist, FinTech

ABOUT THE ROLE

We are looking for an experienced Data Analyst to join our FinTech - Data Analytics team and make significant contributions to our mission to streamline and optimize Uber’s Tax infrastructure & reporting.

In this position, you will get an amazing opportunity to play a critical role in implementing/building a wide array of financial systems, and performing analytics for tax reporting, tax calculation, receipts, invoices & profiles. You will work closely with senior leaders in Product, Engineering, and Tax Operations on fast moving, high-stakes problems. A deep analytical passion and the ability to complete key business priorities is a must for this role. Your performance is measured by the insights you give, effectiveness of communication, and the initiative to drive ideas and implement them into action.

BASIC QUALIFICATIONS:

• M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Product Analyst or equivalent)

• Advanced SQL expertise

• Ability and experience in extracting insights from data, and summarizing findings / takeaways

• Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)

• Demonstrated proficiency toward data storytelling and root cause Analysis using data

PREFERRED QUALIFICATIONS:

• Experience with either Python or R

• Experience in building models for anomaly detection

• Experience working on analytics in accounting, finance areas

• Ability to build models to detect anomalies and resolve financial imbalances

• Ability to understand critical interdependencies across functions and divisions, as well as the short and long-term trade-offs of business decisions.

WHAT YOU WILL DO:

• Work with Tax Product, Accounting, FP&A, Tax Ops, technical teams, and other partners (such as city teams across the globe) in mining and analyzing tax, financial, and entity-level data to extract key trends and insights.

• Design and create visualizations to present practical insights related to data sets and business questions at hand. Build end to end data pipelines and self serving dashboards. Automate whatever you can!

• Build predictive models that will better detect anomalies and resolve financial imbalances.

• Understand critical interdependencies across functions and divisions, and grasp the short and long-term trade-offs of business decisions.

• Explore FinTech systems/data to proactively identify and initiate process improvements for cost savings and efficiencies.

• Communicate your findings to cross-functional peers and management.

• Get a deep understanding about the process and data flows involved; document and train internal personnel to institutionalize the takeaways of the data analytics practice.