Manager II, Science - Delivery Logistics

Uber

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
3 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $190k
$145k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $160,400–$220,550.

Based on 240 similar postings.

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About Uber

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.

Uber currently has 45 open roles on FindRole.

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At a glance

TL;DR · Manager II, Science - Delivery Logistics

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.

What you'll do

  • Solve ambiguous business problems using data-driven approaches and advanced analytics.
  • Lead a team of scientists to drive technical vision and project direction.
  • Develop new methodologies for modeling, coding, optimization, and experimentation.
  • Present data findings to business leaders to inform strategic decision-making.
  • Design product experiments and interpret results to draw actionable conclusions.
  • Prototype algorithms and models using Python or other relevant programming languages.
  • Manage the full lifecycle of technical projects from initial concept to production.

What we're looking for

  • Bachelor's, Master's, or Ph.D. in Economics, Statistics, Machine Learning, Operations Research, or another quantitative field.
  • 7+ years of industry experience as an Applied or Data Scientist (or 4+ years with a Ph.D.).
  • Minimum 2 years of experience directly managing a team of scientists and defining team structures.
  • Ability to use Python or similar technologies to work with large data sets and prototype algorithms.
  • Experience designing experiments and interpreting results to draw actionable conclusions across various KPIs.
  • Excellent communication skills to lead initiatives across product areas and communicate findings to leadership.
  • 9+ years of industry experience as an Applied or Data Scientist (preferred).
  • Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.

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