About the Role
As an Applied Scientist in the Safety and Insurance team, you will be able to tackle some of the hardest problems in all of Uber! It will involve improving the safety of cities and people all over the world. This applied scientist position focuses on algorithmic solutions to understanding and improving driving safety. This is an excellent opportunity for an expert, intellectually-curious data scientist to make an impact in one of Uber’s most critical divisions.
In this role, you will partner closely with product management, operations, engineering, and actuarial teams, to build data science and machine learning solutions to support safety and insurance initiatives. You will use data platforms such as Hive and Spark and telematics data such as GPS, IMU, and other raw data sources. You will play an influential role in what we do in helping drive critical product and policy decisions!
What You Will Do
– Develop and lead statistical and M/L efforts in relation to your projects. Our projects use machine learning, experimentation, signal processing, time series analysis, geospatial analysis, and more. We’ll give you as many challenges as you can seek and help you grow to tackle more
– Use large-scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more
– Collaborate with engineering to write and implement algorithms in production
– Craft and analyze experimental and observational studies; communicate findings; facilitate launch decisions
– Work with a multi-functional team that includes product management, engineering, operations, and others to implement projects
Basic Qualifications
– Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor’s degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent)
– Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
– Knowledge of experimental design and analysis
– Experience with exploratory data analysis, statistical analysis and testing, and model development
– Ability to use a language like Python or R to work efficiently at scale with large data sets.
– Proficiency in languages like SQL, R, and Scala.
Preferred Qualifications
– M.S. degree in Statistics, Machine Learning, Operations Research, or other quantitative fields with 3+ years of industry experience
– Ph.D. in Statistics, Machine Learning, Operations Research, or other quantitative field
– Experience in algorithm development and prototyping.
– Experience with productizing algorithms for real-time systems
– Experience in working with motor/auto insurance and telematics.
– Well-honed communication and presentation skills: able to transform a complex quantitative analysis into a succinct executive-level report
We encourage 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.
Offices continue to be central to teamwork and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are encouraged to be in the office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please get in touch with accommodations@uber.com.
For San Francisco, CA-based roles: The base salary range for this role is $149,000 per year – $165,500 per year.
You will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).
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](https://forms.gle/aDWTk9k6xtMU25Y5A).
Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.