Uber is looking to optimize marketing communications through cutting-edge machine learning and statistical modeling to accelerate demand and supply growth in over 600 cities worldwide.
Requirements
- 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
- Experience with reinforcement learning, contextual bandits, natural language processing, or generative AI is a strong plus.
- Familiarity with data engineering tools and large-scale data processing technologies such as Hive, Spark, or similar frameworks.
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.
- Translate data insights into clear, actionable recommendations that influence strategy and execution.
Other
- 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)
- 1-2 years of experience as a data scientist or applied scientist, ideally at a company with global-scale operations.
- 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.
- The base salary range for this role is USD$155,000 per year - USD$172,000 per year.
