Job
Description
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 Will Do - Conduct thorough analyses of large datasets to identify trends, patterns, and opportunities for improving search performance. Design, implement, and optimize search models and 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. - What You Will Need - Masters degree or equivalent experience in Statistics, Economics, Operations Research, or other quantitative fields. 7+ years experience as a Applied Scientist or equivalent. Experience using Python or R to work with large data sets at scale. Experience using SQL in a production environment. Experience in experimental design and analysis, exploratory data analysis, and statistical analysis. Experience with dashboarding and using data visualization tools. Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar. - Preferred Qualifications - PhD degree equivalent experience in Statistics, Economics, Operations Research, or other quantitative fields with 5+ years experience as a Scientist or equivalent. Experience in building consumer-facing products in a technology company. Building Machine Learning and Deep Learning models. Experience in serach and recommendations 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.
