Data Science Manager - Bengaluru/Bangalore @ Uber

• 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 prioritisation of product, growth, and optimisation initiatives.

Basic Qualifications

• Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
• 8+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions
• 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 organisation skills

What the Candidate Will Do

• 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