Manager, Science Technology
Uber
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Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.
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Manager II, Science - Delivery Logistics joins the Delivery Logistics team to build real-world technology powering a global marketplace. This role involves leading a team of scientists to solve ambiguous business problems using data-driven approaches and developing technical visions in collaboration with multi-functional leads. The manager will develop new methodologies for modeling, coding, analytics, optimization, and experimentation while presenting findings to business leaders to inform decisions. Key responsibilities include designing product experiments and interpreting results across various performance indicators. Candidates should possess expertise in Python, R, Java, Go, or Scala to prototype algorithms and work with large datasets. The role requires deep knowledge of the marketplace domain, specifically involving backend matching systems, user experience improvements, and prediction models for decision-making. Preferred technical skills include reinforcement learning, optimization algorithms, and econometrics.
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