Uber · 16 hours ago
Marketing Applied Scientist
San Francisco, CA
Full-time
Onsite
Mid Level
$155K/yr - $172K/yrUber is seeking an Applied Scientist to join their team to solve impactful business problems in marketing analytics and ad tech. The role involves applying scientific methods to optimize marketing performance and collaborating with cross-functional teams to implement data-driven solutions.
LogisticsMobile AppsRide SharingSoftwareTransportation
Responsibilities
Strong expertise in experimentation design and causal inference methodology, accountable for the end-to-end Paid channel incrementality and optimization testings
Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and optimization modeling etc
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
Work with cross-functional teams to implement and deploy models and improve analytical solutions by providing data-driven recommendations
Use large scale data processing such as Spark, Hive, and Uber's proprietary machine learning platform, and more
Collaborate with marketing leadership, product and engineering teams. Participate in project planning/prioritization meetings, partner meetings, data prioritization meetings, etc
Qualification
Required
Master's degree in Statistics, Operations Research, Math, or another quantitative field
Relevant experience in machine learning, optimization and advanced analytics
Expertise with Python
Advanced SQL skills - comfortable working with very large data sets
Strong expertise in experimentation design and causal inference methodology, accountable for the end-to-end Paid channel incrementality and optimization testings
Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and optimization modeling etc
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
Work with cross-functional teams to implement and deploy models and improve analytical solutions by providing data-driven recommendations
Use large scale data processing such as Spark, Hive, and Uber's proprietary machine learning platform, and more
Collaborate with marketing leadership, product and engineering teams. Participate in project planning/prioritization meetings, partner meetings, data prioritization meetings, etc
Preferred
Experience with big data using technologies like Hadoop, Hive, and Spark a plus
Previous experience in advertising tech (e.g. market response modeling, forecasting, attribution, targeting, 3rd party data integration, and etc) is a plus
Great communication skills, organized, able to multitask, and be a great teammate
Ability to balance attention to detail with swift execution
Hunger and drive to learn complex topics
Benefits
Participate in Uber's bonus program
May be offered an equity award
Various benefits
Company
Uber
Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
Founded in 2009
10001+ employees
H1B Sponsorship
Uber has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (830)
2024 (796)
2023 (684)
2022 (954)
2021 (750)
2020 (638)
Funding
Current Stage
Public CompanyTotal Funding
$35.56BKey Investors
William AckmanPayPalToyota Motor
2025-09-08Post Ipo Debt· $2.25B
2025-05-13Post Ipo Debt· $1B
2025-01-01Post Ipo Equity· $2.3B
Leadership Team
Dara Khosrowshahi
CEO
Prashanth Mahendra -Rajah
Chief Financial Officer
Recent News
2026-01-08
2026-01-08
The Philadelphia Inquirer
2026-01-08
Company data provided by crunchbase