What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Work with tax operations, product, compliance, engineering, ops, accounting and other business stakeholders in mining and analyzing tax financial and entity-level data to extract key trends and insights.
- Investigate and resolve discrepancies in tax data, generate reports for external data sharing.
- Build effective visualizations to communicate data to key decision-makers. Be a trusted advisor to stakeholders cross-functionally.
- Build models to automate detection of anomalies/inconsistencies in tax data and resolve the same;
- Understand critical interdependencies across functions and divisions, and facilitate 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 Tax systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data science practice.
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---- Basic Qualifications ----
- M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitaxtive 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 Data Scientist or equivalent)
- Advanced SQL expertise
- Basic understanding of statistical methods
- Ability and experience in extracting insights from data, and summarizing learnings / takeaways to cross-functional stakeholders.
- Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)
---- Preferred Qualifications ----
- Experience with either Python or R
- Experience working on analytics in accounting, finance areas
- Strong communication and organization skills
- Ability to multi-task while maintaining quality and detail
- Basic understanding of experimental design (such as A/B experiments) and statistical methods
- Demonstrated aptitude toward data storytelling and root cause analysis using data
- 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.
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.