Uber Staff Scientist- Uber Eats Search 

United States, West Virginia 

497220496

What you will do

• Conduct thorough analyses of large datasets to identify trends, patterns, and opportunities for improving search performance.
• Design, implement, and optimize search algorithms to enhance the relevance and accuracy of search results.
• 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 search 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.
• 7+ 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),
• 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
• Experience in developing causal inference methodologies and experimental 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

• Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
• Expertise in developing causal inference methodologies, experimental designs, and advanced analytical methods.
• Experience in building consumer-facing products in a technology company.
• Building Machine Learning and Deep Learning models.
• Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
• Experience guiding and mentoring other Scientists.
• Experience synthesizing data analyses into clear insights to influence product direction.

For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.