Uber Senior Science Manager Feed Ranking Experience UberEats 

United States, West Virginia 

170067953

What you will do

• Use data to solve ambiguous, meaningful customer and business problems.
• Deliver insights to understand customer behavior, our systems, to inform product strategy. Present these in various leadership forums.
• Develop and implement new algorithms for Feed personalization.
• Understand, research the latest trends in personalization. Make pragmatic decisions on what technologies and methods to incorporate into our systems.
• Build data foundations and dashboards that monitor system health and product metrics.
• Work with a cross-functional team that includes PM, Eng, Ops, Design, to develop strategy, roadmaps for the area.
• Mentor, coach, inspire and grow a team of Scientists. Support them to do their best work and bring their authentic selves to work. Provide guidance and support to advance their careers.

Basic Qualifications

• Ph.D. degree in Math, Economics, Bioinformatics, Statistics, Engineering, or other quantitative fields
• Minimum of 7 years of experience with 4 years of people management experience.
• Experience in building and managing high performance science teams - including mentoring and coaching senior ICs and people managers.

Preferred Qualifications

• Knowledge of mathematical foundations of statistics, machine learning, optimization, economics, and analytics, in the domain of recommendation systems.
• Experience with experimental design, exploratory data analysis, statistical analysis, testing, and model development.
• Proficient in both a data ETL language (e.g. SQL) and a scripting language like Python or R for data analysis.
• Track record in prioritizing and driving multiple work-streams forward simultaneously
• Ability to empower a team while providing them with career paths that align with business goals.
• Proven track record of collaborating with and influencing stakeholders.
• Principled yet pragmatic, having conviction and being authentic in your approach, but situationally aware enough to adapt when needed.
• Exhibit sound business judgment, long term and deep analytical thinking. Adept at influencing various stakeholders.
• Excellent storyteller with the ability to translate deep technical subjects into understandable narratives for non-technical audiences.
• Able to build a clear technical vision of the system that balances customer empathy, business needs and practical considerations.

For San Francisco, CA-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 per year.