Jobs: 3164
Headquarter: United States

Sr. Manager- Platform Data and Applied Sciences

About the Role 


We are looking for a senior manager to lead data and applied sciences in Platform Applied Science. We develop technologies for core platforms, including Experimentation, Mapping, AI, Competition/Pricing Intelligence, Uber for Business, Uber Transit, etc.


These technologies are essential for Uber through:

  • Experimentation design and measurement which powers the company-wide experimentation platform for tens of thousands experiments. This platform is critical in providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem. 
  • Geospatial models which power the core trip flow and critical internal decision systems such as matching and pricing, including travel time and distance prediction, route recommendation, navigation, pickup & dropoff location setting and experience optimization.
  • General ML, DL models which are being applied in personalization and recommendation for various services at Uber.
  • Causal inference models which provide insights/opportunities on pricing/competition strategies for various internal partner teams and executive leadership.
  • Analytics which provide insights/opportunities for growing the portfolio of Uber product offerings, including collaboration with external business partners and transit agencies.  


You will lead a subset of teams listed above from the applied science side. Your team consists of statisticians, ML and operations research scientists, and data analysts, led by several frontline managers. Your team is responsible for developing statistical, ML, and optimization models for these systems as well as all the relevant product analytics such as data, metrics, and experimentation and measurement frameworks. 


What You’ll Do

  • Lead a team of 3-5 managers as well as senior individual contributors, with dozens of applied scientists reporting to them/you.
  • Work closely with leads from engineering and product, and upstream and downstream teams, to define and execute the direction of the product development. 
  • Create the technical vision for the team on both data analytic foundations and advanced models.
  • Communicate to executive stakeholders and other company leaders.
  • Build a strong science & analytics team by hiring and mentoring. Provide technical and professional guidance, mentorship, and people management.
  • Improve the understanding of data-driven product development across Uber.
  • Provide technical and leadership feedback and guidance to the broader science community in the company.


Basic Qualifications 

  • M.S. degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative discipline.
  • 5+ years of experience in data science related fields. Experience in managing a large team of data scientists and managers. 
  • Knowledge of underlying mathematical foundations of statistics, experimentation, machine learning, and analytics. Hands on experience in developing and prototyping statistical and machine learning models.
  • Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R. 


Preferred Qualifications 

  • Ph.D. degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
  • 10+ years of experience in applied science related fields. 7+ years of experience in people management. Experience in managing a large team of data scientists (20+) and managers (5+)
  • Proficiency in Java. Experience with real-time production engineering system
  • Passionate about Uber’s problem space, motivating, empathetic, truth seeking, and holding a high technical bar.


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Sr. Manager- Platform Data and Applied Sciences