Marketing Applied Scientist jobs in United States
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Uber · 16 hours ago

Marketing Applied Scientist

positionSan Francisco, CA
timeFull-time
remoteOnsite
seniorityMid Level
money$155K/yr - $172K/yr

Uber is seeking an Applied Scientist to tackle significant marketing analytics and ad tech challenges. The role involves designing experiments, building models for marketing performance optimization, and collaborating with cross-functional teams to implement data-driven solutions.

LogisticsMobile AppsRide SharingSoftwareTransportation
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H1B Sponsor Likelynote

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

Experimentation designCausal inference methodologyMachine learningAdvanced analyticsPythonAdvanced SQLBig data technologiesMultitaskingDrive to learnCommunication skillsOrganizational skillsTeamworkAttention to detail

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

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Company

Uber

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Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
dateFounded in 2009
location
San Francisco, California, USA
people-size10001+ employees
web-link
http://www.uber.com

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 Company
Total Funding
$35.56B
Key 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

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Dara Khosrowshahi
CEO
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Prashanth Mahendra -Rajah
Chief Financial Officer
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Company data provided by crunchbase