Manager II, Science Tech

Job Description

About The Role The Core Analytics & Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities. What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Develop and grow a team of data scientists Work with cross functional stakeholders and influence product roadmap for their respective area Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business Review the design of experiments and help interpret the results to draw detailed and impactful conclusions. Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritization of product, growth, and optimization initiatives. Basic Qualifications Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 9+ years experience in Data Science, Analytics or other types of data analysis-focused functions 2+ years experience in managing team of analytics and data science professionals with demonstrated ability to guide and mentor them Advanced SQL expertise Excellent understanding of statistical principles backed by an academic foundation Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar) Strong leadership and team management skills. Excellent communication and stakeholder management abilities. Ability to mentor, coach and develop junior and senior team members Superb organization skills Preferred Qualifications Experience with either Python or R for data analysis Proven track record to wrangle large datasets, extract insights from data, and summarize learnings/takeaways. Proven aptitude toward Data Storytelling and Root Cause Analysis using data Ability to learn and adapt to new methodologies for data collection and analysis Ability to deliver on tight timelines and prioritize multiple tasks while maintaining quality and detail Ability to work in a self-guided manner Show more Show less