Senior Applied Scientist

• Brand MarketingAbout the Role

We're looking for an 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.

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.

What the Candidate Will Do

Apply statistical/econometric methods to estimate the incremental impact of changes in marketing and product strategy on brand-relevant KPIs like sentiment, awareness, and purchase intent as well as on business outcomes like trips/orders and gross bookings.

Build and improve technical tools for marketing problems. Examples include media mix models, statistical estimators to gauge the impact of various interventions (experimental or otherwise), optimization engines that determine how to best distribute resources, etc.

Interface closely with external partners (media agencies, advertising platforms, measurement vendors) to deeply understand the existing capabilities and limitations of their platforms and solutions, and to push the envelope on what is possible.

Collaborate with our in-house media, research, product, and operations teams to develop actionable customer insights and recommendations to guide high level business and marketing strategy.

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

Intellectual curiosity and a knack for applying/extending technical solutions in innovative ways

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year

USD$211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year

USD$211,000 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 https://www.uber.com/careers/benefits.