Marketing Applied Scientist II

About the Role

Key Responsibilities

• Develop production-grade models using large-scale datasets to optimize marketing performance through advanced statistical modeling, machine learning, and natural language processing techniques.
• Apply modeling approaches to address key CRM growth challenges, including creative optimization, channel mix selection, and cadence/timing optimization.
• Build models that generate insights from existing customer behavior to drive acquisition, retention, engagement, and conversions, and to scale effective prospecting strategies.
• Partner with cross-functional teams to deploy models in production and enhance analytics solutions through data-driven recommendations.
• Work with large-scale data processing tools such as Spark, Hive, and Uber's proprietary machine learning platforms.
• Collaborate closely with marketing, product, and engineering teams; participate in project planning, stakeholder alignment, and data knowledge-sharing forums.
• Translate data insights into clear, actionable recommendations that influence strategy and execution.

Requirements

• Ph.D. or M.S. degree in Statistics, Computer Science, Applied Mathematics, Electrical Engineering, Economics, or other quantitative fields is preferred. (If M.S. degree, a minimum of 2+ years of industry experience required).
• Expertise with Python.
• Advanced SQL skills - comfortable working with very large data sets.
• Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, mathematical optimization).
• Advanced skills in probability and statistics.

Nice to Have

• 1-2 years of experience as a data scientist or applied scientist, ideally at a company with global-scale operations.
• Experience with reinforcement learning, contextual bandits, natural language processing, or generative AI.
• Familiarity with data engineering tools and large-scale data processing technologies such as Hive, Spark, or similar frameworks.
• Strong communication skills; highly organized, collaborative, and capable of managing multiple priorities in a cross-functional environment.
• Excellent problem-solving skills and strong business acumen, with the ability to connect technical insights to strategic decisions.

Qualifications

• Ph.D. or M.S. degree in a relevant quantitative field (preferred).
• Minimum of 2+ years of industry experience if holding an M.S. degree.

Benefits & Perks

• The base salary range for San Francisco, CA-based roles is USD$155,000 per year - USD$172,000 per year.
• Participation in Uber's bonus program.
• Potential equity awards and other compensation.
• Eligibility for various benefits as detailed at https://www.uber.com/careers/benefits.