About the Role
Uber Eats is seeking a highly skilled and motivated Scientist to join our Search Team. As a Scientist, you will play a critical role in enhancing the search experience for millions of Uber Eats users worldwide. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive insights and optimize search algorithms, ultimately improving user satisfaction and operational efficiency.
What You'll 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.
- Mentor and lead junior ICs and make meaningful contributions across various surfaces of Search
- 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.
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What You'll need:
- M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
- 10+ 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.
We welcome 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 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.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.