Science Manager, Delivery Logistics

Uber Technologies Inc.

New York (NY)

On-site

USD 216,000 - 240,000

Full time

8 days ago
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Benefits offered by this job

Bonus program
Equity award
401(k) plan

Job summary

Uber Technologies Inc. is seeking a Science Manager to lead a data science team focused on improving the delivery logistics marketplace. You will drive research on real-time matching, analytics, and experimentation to influence product and business decisions.

You will partner with product and engineering to shape the technical vision, design experiments, and present findings to leadership. A quantitative degree and 2+ years of team leadership are required, with strong Python skills and

Qualifications

  • Ph.D., MS, or Bachelor's in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
  • 7+ years of industry experience as an Applied or Data Scientist (or 4+ with PhD).
  • Minimum 2 years of experience directly managing a team of scientists.
  • Excellent communication and collaboration skills across product areas and leadership.
  • Ability to use Python or similar technologies to work with large datasets and prototype models.
  • Experience designing experiments and interpreting results across key performance indicators.

Responsibilities

  • Solve ambiguous, data-driven business problems.
  • Collaborate with cross-functional leads to define technical vision and team direction.
  • Develop new data science methodologies including modeling, analytics, optimization, and experimentation.
  • Present findings to business leaders to inform decisions.
  • Design product experiments and interpret results for actionable conclusions.

Skills

Data science leadership
Team leadership
Experiment design
Python
Communication
Statistics

Education

Quantitative degree (PhD/MS/BSc)

Tools

Python

Job description

Uber Technologies Inc. is seeking a Science Manager to lead a data science team focused on improving the delivery logistics marketplace. You will drive research on real-time matching, analytics, and experimentation to influence product and business decisions.

You will partner with product and engineering to shape the technical vision, design experiments, and present findings to leadership. A quantitative degree and 2+ years of team leadership are required, with strong Python skills and

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