Reimagining transportation for a better world
Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...
Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...
Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...
Uber • New York, USA
Uber is seeking an Applied Scientist to tackle marketing analytics and ad tech challenges. You'll leverage your expertise in statistical modeling and machine learning to optimize marketing performance. This role requires a strong background in data analytics and experimentation design.
You have a Master’s degree in Statistics, Operations Research, Math, or a related field, and possess a strong curiosity about data. Your experience includes applying rigorous scientific methods to solve complex business problems, particularly in marketing analytics and ad tech. You are proficient in data analytics and have a solid understanding of experimentation design and causal inference methodology. You thrive in collaborative environments and are eager to work with cross-functional teams to implement data-driven solutions.
Experience with large-scale data processing tools such as Spark and Hive is a plus. Familiarity with Uber’s proprietary machine learning platform will enhance your ability to contribute effectively. You are comfortable working with marketing leadership and engineering teams, participating in project planning and prioritization meetings.
In this role, you will be accountable for the end-to-end Paid channel incrementality and optimization testing. You will build production-grade models on large-scale datasets to optimize marketing performance, utilizing advanced statistical modeling and machine learning techniques. Your work will address key growth challenges, providing meaningful insights into channel optimization, user value modeling, bidding optimization, and targeting optimization. You will collaborate closely with marketing leadership and product teams to implement and deploy models, improving analytical solutions through data-driven recommendations.
Uber offers a unique opportunity to apply your skills and have a direct impact on global business. You will be part of a dynamic team that values curiosity and innovation. The role is based in New York, and while Uber expects employees to spend at least half of their work time in the office, there are opportunities for collaboration and growth within the company. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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