Data Scientist II, FinTech

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.
You will work closely with our senior leaders in Product, Data Science, Engineering, Compliance and 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 generate, efficiency 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.
• 3+ years of work experience as a Data Scientist (or equivalent)
• Proficiency in SQL and Excel; Solid understanding of statistical methods
• Exposure to some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)
• Generate informative trends by integrating data from various sources into a meaningful story

Preferred Qualifications:

• Experience with either Python or R for data analysis
• Ability to learn and adapt new methods for data collection and analysis
• Strong communication and interpersonal skills
• Ability to multi-task while maintaining quality and detail
• Prior experience within the finance or related industries is a bonus

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.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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.