Uber
Sr Manager, Applied Science - Road Safety
Uber, San Francisco, California, United States, 94199
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Sr Manager, Applied Science
role at
Uber
13 hours ago Be among the first 25 applicants
About The Role We are seeking an applied science leader with experience managing technical teams and influencing stakeholders to protect and support Uber's customers. You'll be working across cross-disciplinary teams within Product, Engineering, Risk Management, Operations, and Actuarial to reduce exposure to accident risk through advanced modeling and strategize with business stakeholders to implement findings. Our team includes highly skilled and experienced scientists with diverse backgrounds in physical sciences, social sciences, and actuarial science.
What The Candidate Will Need / Bonus Points What the Candidate Will Do
Develop and lead statistical and machine learning efforts to identify and mitigate factors contributing to road safety risk, including machine learning, experimentation, signal processing, time series analysis, geospatial analysis, and more.
Develop strategy and roadmap to execute business objectives.
Design and analyze experimental and observational studies; communicate findings; facilitate launch decisions.
Work with a cross-functional team that includes product management, engineering, operations, and others to drive execution.
Use large-scale data processing such as Spark, Hive, Uber's proprietary machine learning platform, and more.
Basic Qualifications
8 years of relevant work experience.
5 years of people management.
Understanding of the US Auto Insurance market, including common coverages, insurance pricing, segmentation, and predictive modeling.
Masters in Mathematics, Engineering, Data Science, Economics, or related field.
Preferred Qualifications
Ph.D in Mathematics, Engineering, Data Science, Economics, or related field.
Experience building and managing production Machine Learning models.
Experience creating risk classification plans, geospatial / territory analysis, price optimizations.
Experience in technology working with Product, Engineering, and other teams.
Ability to work across multiple teams with different objectives to synthesize potential trade-offs.
For San Francisco, CA-based roles: The base salary range for this role is USD$241,000 - USD$268,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of compensation. You will also be eligible for various benefits. More details can be found at
Uber Careers Benefits .
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
Internet Marketplace Platforms
#J-18808-Ljbffr
Sr Manager, Applied Science
role at
Uber
13 hours ago Be among the first 25 applicants
About The Role We are seeking an applied science leader with experience managing technical teams and influencing stakeholders to protect and support Uber's customers. You'll be working across cross-disciplinary teams within Product, Engineering, Risk Management, Operations, and Actuarial to reduce exposure to accident risk through advanced modeling and strategize with business stakeholders to implement findings. Our team includes highly skilled and experienced scientists with diverse backgrounds in physical sciences, social sciences, and actuarial science.
What The Candidate Will Need / Bonus Points What the Candidate Will Do
Develop and lead statistical and machine learning efforts to identify and mitigate factors contributing to road safety risk, including machine learning, experimentation, signal processing, time series analysis, geospatial analysis, and more.
Develop strategy and roadmap to execute business objectives.
Design and analyze experimental and observational studies; communicate findings; facilitate launch decisions.
Work with a cross-functional team that includes product management, engineering, operations, and others to drive execution.
Use large-scale data processing such as Spark, Hive, Uber's proprietary machine learning platform, and more.
Basic Qualifications
8 years of relevant work experience.
5 years of people management.
Understanding of the US Auto Insurance market, including common coverages, insurance pricing, segmentation, and predictive modeling.
Masters in Mathematics, Engineering, Data Science, Economics, or related field.
Preferred Qualifications
Ph.D in Mathematics, Engineering, Data Science, Economics, or related field.
Experience building and managing production Machine Learning models.
Experience creating risk classification plans, geospatial / territory analysis, price optimizations.
Experience in technology working with Product, Engineering, and other teams.
Ability to work across multiple teams with different objectives to synthesize potential trade-offs.
For San Francisco, CA-based roles: The base salary range for this role is USD$241,000 - USD$268,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of compensation. You will also be eligible for various benefits. More details can be found at
Uber Careers Benefits .
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
Internet Marketplace Platforms
#J-18808-Ljbffr