Marketing Applied Scientist

About the Role

We are looking for an Applied Scientist to join our team to solve interesting and impactful business problems in the domain of marketing analytics and ad tech. Ideal candidates need to have strong curiosity on data, and demonstrable ability to successfully apply rigorous scientific methods with proficiency in data analytics knowledge and technical capabilities. This is a unique opportunity to apply your skills and have a direct impact on global business.

What the Candidate Will Do

1. Strong expertise in experimentation design and causal inference methodology, accountable for the end-to-end Paid channel incrementality and optimization testings
2. Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and optimization modeling etc
3. Use models to address key growth challenges and provide meaningful insights on problems in Channel Optimization including user value modeling, bidding optimization, targeting optimization etc
4. Work with cross-functional teams to implement and deploy models and improve analytical solutions by providing data-driven recommendations.
5. Use large scale data processing such as Spark, Hive, and Uber's proprietary machine learning platform, and more
6. Collaborate with marketing leadership, product and engineering teams. Participate in project planning/prioritization meetings, partner meetings, data prioritization meetings, etc

---- Basic Qualifications ----

1. Master's degree in Statistics, Operations Research, Math, or another quantitative field.
2. Relevant experience in machine learning, optimization and advanced analytics
3. Expertise with Python
4. Advanced SQL skills - comfortable working with very large data sets

---- Preferred Qualifications ----

1. Experience with big data using technologies like Hadoop, Hive, and Spark a plus
2. Previous experience in advertising tech (e.g. market response modeling, forecasting, attribution, targeting, 3rd party data integration, and etc) is a plus
3. Great communication skills, organized, able to multitask, and be a great teammate
4. Ability to balance attention to detail with swift execution
5. Hunger and drive to learn complex topics

For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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 this form.

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.

Client-provided location(s): San Francisco, CA, New York, NY

Job ID: Uber-153066

Employment Type: FULL_TIME

Posted: 2026-01-14T00:26:33