Applied Science Manager II, Core Analytics and Science

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Core Analytics & Science Team (CAS) is Uber's most extensive data science organisation, covering both of Uber's main lines of business as well as the underlying platform technologies that power those businesses. We are a vital part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytics, statistical, and algorithmic expertise.

The team at Bangalore, India, will host an entrepreneurial attitude that will focus on the rapid experimentation of ideas to expand the product portfolio for Uber. This team is regarded as one of the top-performing DS teams across Uber. This team is working to bring a customer-centric experience to our riders, at par with the Uber experience that they have come to expect. As an Applied Science Manager - you will own the experience and algorithms powering the Rider app. Optimize incentives, personalize the rider experience and optimize routing and matching, scheduled rides and high capacity vehicles.

What You'll Do

• Manage a team of Data Scientists and Applied Scientists, while also contributing to projects.
• Build statistical, optimization, and machine learning models for applications including pricing, matching, routing, automated recommendations, growth strategies, and user behaviour modeling.
• Design product experiments and interpret the results to draw detailed and impactful conclusions.
• Develop data-driven business insights and work with the team and cross-functional partners to identify opportunities, drive product strategy, planning, and execution.
• Drive understanding of our users and their interaction with our products, through in-depth analyses of user interaction and engagement.
• Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product Management and other disciplines such as engineering, operations and marketing
• Provide rigorous technical mentorship to the team.
• Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.

Basic Qualifications

• Degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics and minimum 10 years experience in Applied Science or similar field.
• Familiarity with Sql, Python, R or Java to work efficiently at scale with large data sets (including exploratory data analysis, statistical analysis, and machine learning model development) in a production environment.
• Ability to drive clarity on the best modeling or analytic solution for a business objective.
• Advanced knowledge of experiment design and statistical methods.
• Minimum 3 years of management experience in a technical role.

Preferred Qualifications

• MS in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics or other quantitative fields with 10+ years of industry experience.
• Ph.D in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics or other quantitative fields.
• Experience working in a technical role in a marketplace environment
• Strong communication skills, for example, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions.