About the Role
As a Senior Scientist for Rider, you will play a crucial role in optimizing our experience and platform for our customers. We are seeking a highly skilled and motivated individual who is passionate about using data to drive impactful decisions. If you have a strong background in applied mathematics, economics, or computer science and are excited about tackling complex challenges in the dynamic world of on-demand transportation, then we want to hear from you! Join our team and be a part of shaping the next generation of mobility at Uber.
What You'll Do
Use data to guide product and business decisions.
Collaborate with cross-functional teams, including product managers, engineers, and data scientists, to understand business needs and provide data-driven solutions.
Lead research projects to answer complex technical and business questions.
Use statistical and machine learning techniques to build and evaluate models and algorithms that power our user experiences.
Monitor and evaluate the performance of our systems and products.
Train and mentor junior team members on data analysis techniques and best practices.
Communicate findings and recommendations to stakeholders through clear and concise presentations, reports, and dashboards.
Basic Qualifications
Ph.D. degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, or other quantitative fields.
2+ years of industry experience as a scientist or equivalent.
Ability to use SQL, and Python or R (or similar technologies), to work efficiently with large datasets.
Experience with experimentation and statistics
Preferred Qualifications
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
Experience leading key technical projects and substantially influencing the scope and output of others.
Solid Programming skills to prototype models in at least one of Python (preferably), R, Java
Expert in one of the following areas: A/B experimentation design, causal inference, machine learning, economics, or optimization
Experience of working with large datasets using Spark or Hive
For San Francisco, CA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year. For all US locations, 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.
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://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform