Applied Science Manager - Safety and Insurance at Uber (San Francisco, CA)
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About the Role
As an Applied Science Manager in the Safety and Insurance team, you will be leading a hardworking team of Data Scientists and Applied Scientists to support personal safety initiatives to make rare safety events even rarer. The role will partner closely with Safety and Insurance product management, operations, engineering, and regional teams to conduct deep analysis, design and monitor experiments, and develop machine learning models to make our platform as safe as possible for all users. You will play an influential role in helping drive critical product and policy decisions.
What You'll Do
• Build and develop a robust analytics team that includes Data Scientists and Applied Scientists• Develop and lead statistical and machine learning efforts including modeling, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more• Collaborate cross-functionally across technical and non-technical partners to identify and improve safety-related processes• Present findings to business leaders to inform decisions• Seek and tackle ambiguous, meaningful business problems using data-driven approaches• Manage partners including senior management and multi-functional teams• Anticipate the analytic needs of stakeholders and work with business partners to surface the appropriate information• Perform deep-dive analysis to discover root causes for safety issues and changes in trends
Basic Qualifications
• Bachelor degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics and minimum 4 years experience in the Applied Science field• Ability to use a language like Python or R 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• Advanced ability with SQL• Minimum 1 year management experience in a technical role
Preferred Qualifications
• MS in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics or other quantitative field with 2+ years of industry experience• Ph.D in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics or other quantitative field• 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• Highly detailed oriented• Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution• Able to identify stakeholders, build relationships, and influence others to get work done
At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We've grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
As an Applied Science Manager in the Safety and Insurance team, you will be leading a hardworking team of Data Scientists and Applied Scientists to support personal safety initiatives to make rare safety events even rarer. The role will partner closely with Safety and Insurance product management, operations, engineering, and regional teams to conduct deep analysis, design and monitor experiments, and develop machine learning models to make our platform as safe as possible for all users. You will play an influential role in helping drive critical product and policy decisions.
What You'll Do
• Build and develop a robust analytics team that includes Data Scientists and Applied Scientists• Develop and lead statistical and machine learning efforts including modeling, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more• Collaborate cross-functionally across technical and non-technical partners to identify and improve safety-related processes• Present findings to business leaders to inform decisions• Seek and tackle ambiguous, meaningful business problems using data-driven approaches• Manage partners including senior management and multi-functional teams• Anticipate the analytic needs of stakeholders and work with business partners to surface the appropriate information• Perform deep-dive analysis to discover root causes for safety issues and changes in trends
Basic Qualifications
• Bachelor degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics and minimum 4 years experience in the Applied Science field• Ability to use a language like Python or R 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• Advanced ability with SQL• Minimum 1 year management experience in a technical role
Preferred Qualifications
• MS in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics or other quantitative field with 2+ years of industry experience• Ph.D in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics or other quantitative field• 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• Highly detailed oriented• Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution• Able to identify stakeholders, build relationships, and influence others to get work done
At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We've grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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