Applied Scientist II Brand Marketing
@ Uber

New York, NY
$160,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXX XXXXXXXXXXX XXXXXX***** @uber.com
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Job Details

About The Role

We're looking for an Applied Scientist to join our Brand Marketing Data Platform team and provide strategic insights, measurement, and optimization for a large brand marketing budget. As a member of the Brand Science team, you will analyze complex datasets, shape measurement capabilities, develop data ecosystems, and organize experiments to improve marketing spend efficiency.

Problems We're Working On

  • Optimization of marketing budget allocation
  • Automation of measurement setup and reporting
  • Improvement of measurement operations

What You'll Do

  • Ask questions about drivers of campaign performance and design experiments
  • Collaborate with Measurement Operations, Media, and agency teams for accurate setup
  • Contribute to data pipelines, update ELT, and design efficient data architecture

Basic Qualifications

  • Ph.D., M.S., or B.S. in a quantitative field (Statistics, CS, Applied Math, EE, Economics)
  • Advanced skills in SQL, Python, and BI tools
  • Experience in experimental design

Preferred Qualifications

  • Intellectual curiosity and ability to partner with executive stakeholders
  • Excellent communication to translate business challenges into research questions
  • Experience with marketing data and understanding of marketing measurement fundamentals
  • Familiarity with Google App Scripts and modern technologies including AI-powered automations

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • BI Tools
  • Experimental Design
  • ETL Processes
  • Marketing Measurement
  • Data Visualization
  • Automation
  • Communication
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How to Get Hired at Uber

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data analysis and marketing skills.
  • Showcase experiment design: Emphasize hands-on ETL and testing.
  • Research Uber: Understand their culture and current projects.
  • Prepare for interviews: Review technical and communication scenarios.

📝 Interview Preparation Advice

Technical Preparation

Revise SQL query optimization techniques.
Practice Python scripting for data tasks.
Revisit ETL process design examples.
Study BI tool functionalities and dashboards.

Behavioral Questions

Describe a challenging team project.
Explain your problem-solving approach.
Discuss handling stakeholder feedback.
Share examples of clear communication.

Frequently Asked Questions