AI Resume Builder
JOIN NOW Post Job
Uber
AI

Marketing Applied Scientist II

Uber · Seattle, WA, US · $161k - $179k

Actively hiring Posted 4 months ago

Role overview

We are looking for an economic-minded applied scientist for the Marketing Science team to develop strategic insights and drive product strategy including running experimentation and conducting product deep dives. The scope of this role is global and spans Uber's Rides and Eats business!

Responsibilities

  • Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities.
  • Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts.
  • Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uber's senior leadership team.

Basic qualifications

  • Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent).
  • Strong SQL, Python and/or R foundation and expertise.
  • Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference).

Preferred qualifications

  • Ability to collaborate cross-functionally and clearly and concisely communicate complex topics to audiences with different backgrounds.
  • A track record of working independently and conducting rigorous quantitative research in an outcome-oriented way with minimal oversight.
  • Industry experience in marketing science or product research, particularly background in developing and bringing quantitative evidence to bear on marketing or product strategies.
  • Excellent project management skills and the ability to develop and maintain collaborative and productive relationships with other teams around the company. Passion for Uber!

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Machine Learning Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support