Manager II, Data Science

fulltime
Expired

Employment Information

The position you were interested in has been filled or expired, but we invite you to explore other exciting job openings on our platform to find your next career opportunity.

About the Role

We are looking for skilled & motivated professionals who will support and own multiple projects globally that drive business growth while still balancing compliance risk and partner friction. The role will cover areas such as (not limited to) Sanctions screening; Partner and user compliance; Customer due diligence; Transaction monitoring; Metrics development and monitoring; and Model and Strategy development - to help balance partner friction and compliance risk.

Does this sound exciting to you? Are you a tested team player, strategic problem solver and executor? We want to hear from you.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

  • Develop and manage user risk ratings models that meet applicable regulatory requirements and are aligned with standard methodologies and practices.
  • Interpret large amounts of complex data to formulate problem statements, concise conclusions regarding underlying risk dynamics, trends, and opportunities
  • Identify key risk indicators and metrics while developing and monitoring key parameters, enhance reporting, and identify new areas of analytic focus to better understand operational risk.
  • Own compliance - end to end - ranging from the discovery of the business problem to eventually working with the Engineering/Product teams to execute it
  • Strategy design and analysis of domain-specific use-cases such as Reduction of cost of compliance; Improve monitoring mechanism to alert any anomaly in compliance or business metric; Improve funnel for Partner onboarding, thereby improving user experience; and Drive multiple experiments to evaluate and quantify the hypothesis
  • Manage a team of 10-12 analysts and manager
  • Predictive modeling / Machine learning algorithms - using random Forest / Decision tree / Logistic regression

Basic Qualifications

  • 10+ years of experience (Bachelor) OR 9+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
  • Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
  • More than 6 years experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
  • Strong sense of ownership, accountability and entrepreneurial spirit
  • Great communicator, problem solver & confident in decision making

Preferred Qualifications

  • Past experience in Payments or Compliance with a Product / Tech company serving millions of customers on multiple platforms and countries
  • Experience in sql and in experimentation, A/B testing, and statistical modeling
  • Able to lead change and solution oriented
  • Enthusiastic, self-starting and thrives in changing, agile environments
  • 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.

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