Applied Scientist II

Uber

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Posted
4 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $188k
$119k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $162,000–$214,500.

Based on 240 similar postings.

Employer

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 · Applied Scientist II

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Join our Brand Science team in New York City as an Applied Scientist II, collaborating with marketing and research teams to optimize a large brand marketing budget. You will apply statistical methods to measure advertising impact on television and billboards, develop tools like media mix models, and work closely with external partners to enhance measurement capabilities. Ideal candidates have advanced skills in SQL, Python, and BI tools, along with experience in experimental design and quantitative problem-solving in the AdTech space. This role involves deep technical expertise and a collaborative mindset, focusing on actionable insights for high-level business strategy.

Skills

Python SQL BI tools Advanced statistical methods Econometric methods Experimental design Media mix models Optimization engines Data analysis Data visualization Marketing/AdTech experience

What you'll do

  • Apply statistical and econometric methods to estimate the impact of marketing strategies on brand KPIs.
  • Develop and enhance technical tools for optimizing advertising budget allocation across platforms.
  • Work with external partners to understand and improve measurement capabilities in AdTech.
  • Interface with internal teams to create actionable insights guiding business and marketing strategy.
  • Collaborate on improving sensitivity and reducing bias in existing measurement tools.

What we're looking for

  • PhD, M.S., or B.S. in a quantitative field with relevant industry experience.
  • Advanced skills in SQL, Python, and BI tools for data analysis/visualization.
  • In-depth understanding of experimental design and statistical/econometric methods.
  • Experience solving quantitative problems in marketing/AdTech space preferred.
  • Collaborative mindset to work closely with cross-functional teams and external partners.

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