Uber Senior Scientist 

United States, West Virginia 

599348706

About the Role

As a Scientist, you will play a critical role in enhancing the ranking experience for millions of Rider app users worldwide. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive insights and optimize ranking algorithms, ultimately improving user satisfaction and achieving business growth through one of the most impactful levers in the Rider app.

- - - - What the Candidate Will Do ----

• Conduct thorough analyses of large datasets to identify trends, patterns, and opportunities for improving ranking performance.

• Design, implement, and optimize ranking algorithms to enhance the relevance and accuracy of ranking results.

• Mentor and lead junior ICs and make meaningful contributions across various surfaces of the Rider app

• Generate actionable insights from data and communicate findings to stakeholders across the organization.

• Design experiments and interpret the results to draw detailed and impactful conclusions.

• Work closely with product managers, engineers, and other scientists to define project goals and deliver data-driven solutions.

• Stay current with the latest advancements in data science, machine learning, and feed ranking technologies.

• Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.

- - - - Basic Qualifications ----

• M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.

• 5+ years of industry experience as an Applied or Data Scientist or equivalent.

• Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn),

• Experience in large-scale experiment design (e.g., A/B and market-level experiments)

• Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.

- - - - Preferred Qualifications ----

• Prior experience with feed ranking or search algorithms

• Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git.

• Advanced skills in the development and deployment of large-scale ML models and optimization algorithms

For San Francisco, CA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 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 .