Uber Eats (UE) Search is looking to improve its search experiences by developing and implementing cutting-edge machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience.
Requirements
- Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
- Experience with tools like SQL or R in a production environment.
- Proficiency using Python, pySpark at scale with large data sets.
- Experience in Search and Recommendation domains
Responsibilities
- Develop and implement cutting-edge machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience.
- Leverage data-driven insights and algorithmic expertise to guide the team's direction and balance short-term execution with long-term innovation.
- Actively participate and contribute in the end-to-end process of experimental design, execution, and analysis
- Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.
- Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.
- Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability.
- Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges.
Other
- Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact.
- Lead a team of Applied and Data Scientists
- Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions.
- Communicate with leadership and cross-functional teams, including presentation of the Science team's work on models, solutions, and data analytics findings.
- Experienced in partnering with cross-functional stakeholders to execute decisions.
- Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members
- 2+ years of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members.
