Uber Data Scientist II FinTech 

United States, West Virginia 

20629832

About the Role

- - - - 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.

- - - - 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.

* 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 .