Senior Scientist, Merchant Pricing - job 2 of 2

About the Role The focus of the Merchant Pricing team in the delivery marketplace is to ensure the best merchant selection for consumers, innovate on pricing models for merchants to effectively participate in the marketplace to achieve their business objective with highest ROI while aligning the Uber's Delivery business by driving growth and profitability.We are looking for an experienced scientist who relishes the opportunity to develop novel approaches and apply them at Uber's scale. Specifically, in this role, you will develop solutions to understand the interaction between Customers, Merchants and the Uber platform. You will be designing and implementing cutting edge models and data solutions will be collaborating with business and engineering teams to solve key challenges facing merchants such as optimizing marketing campaigns, improving merchant values, making the right tradeoff for the business etc. What You Will Do You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet. We expect you to deliver end-to-end solutions rather than algorithms, and you will work closely with the engineers on the team to productionize, scale, and deploy your models world-wide. Basic Qualifications• Ph.D. or M.S. degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, or other quantitative fields.• 4+ years of industry experience as a scientist or equivalent.• Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets• Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators.Preferred Qualifications• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.• Experience leading key technical projects and substantially influencing the scope and output o f others.• Solid Programming skills to prototype models in at least one of Python (preferably), R, Java• Expert in one of the following areas: A/B experimentation design, causal inference, machine learning, or optimization• Experience of working with large dataset using Spark, Hive, HDFS is desiredFor San Francisco, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.