Senior Applied Scientist, Marketing

Overview

On Site
USD 174,000.00 - 193,500.00 per year
Full Time

Skills

Collaboration
Cross-functional team
Media
Science
Strategy
IMPACT
Television
Budget
Advertising
Brand
Customer relationship management (CRM)
Marketing
Statistical models
SQL
Data Analysis
Software development
Python
R
Communication
Research
Data

Job Details

About the Role

We're looking for a Senior Applied Scientist to join our Brand Science team to provide strategic, actionable insights around how to measure and optimize a large brand marketing budget. In the role, you'll be part of and collaborate with a cross-functional team consisting of marketing/media stakeholders, our in-house research and insights team, as well as other scientists across the broader organization.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

As a member of the Brand Science team, you will not only be able to perform complex analyses exploring our rich dataset, but also shape marketing and measurement strategy. You'll play a big part in finding opportunities to help the marketing function scale as we develop the global Uber brand.

Problems we're working on include:
  • How do we measure the impact of advertising on television and billboards?
  • What is the best way to allocate our budget across a diverse set of advertising platforms and marketing initiatives?
  • How does brand marketing interact with other marketing programs such as CRM and performance marketing?
  • How can we improve our existing measurement tools to improve sensitivity and reduce bias?

  • ---- Basic Qualifications ----
    • 5+ years of experience (or equivalent) with statistical modeling, causal inference, and econometric techniques.
    • Proficiency in SQL and a data analysis programming language - Python (preferred) or R
    • Excellent communication skills to understand stakeholder needs, set expectations around feasibility, translate business challenges into research questions, and present findings to technical and non-technical audiences
    • Be self-driven and show the ability to deliver on ambiguous projects with messy and incomplete data
    ---- Preferred Qualifications ----
    • Experience with solving quantitative problems in the marketing/AdTech space
    • PhD in a quantitative field such as statistics, economics, or operations research
    For New York, NY-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.

    For San Francisco, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.

    For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

    Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing .

    Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
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