Senior Scientist - Personalization Machine Learning (UberEats)

$174,000 - $193,500/Yr

Uber - New York, NY

Full-time - Senior

New York, NY

Transit and Ground Passenger Transportation

About the position

The Senior Scientist in Personalization Machine Learning at UberEats will focus on enhancing the grocery experience by designing algorithms that improve product ranking and personalization. This role involves analyzing user behavior, conducting large-scale experiments, and collaborating with cross-functional teams to inform product strategies and business decisions.

Responsibilities

• Work closely with ML teams to design algorithms and uncover opportunities to improve ranking and personalization.
• Design and analyze large-scale experiments on grocery users in the Eats app to discover insights that improve our discovery platforms.
• Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies.
• Present findings to senior management to inform business decisions.

Requirements

• 5+ years of industry experience working in personalization or search.
• Experience in algorithm prototyping and development.
• Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
• Ability to use Python/PySpark for exploratory data analysis and modeling.
• Strong communication skills across technical, non-technical, and executive audiences.

Nice-to-haves

• Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Operations Research, or other quantitative fields.
• Experience in a technical leadership role.
• Experience in modern deep learning architectures and probabilistic models.
• Experience in modern generative AI, such as transformer architectures, diffusion models and prompting.
• Experience guiding and mentoring other Scientists.
• Excellent communication skills across technical, non-technical, and executive audiences.

Benefits

• Base salary range of USD$174,000 - USD$193,500 per year.
• Eligibility to participate in Uber's bonus program.
• Potential equity award and other types of compensation.
• Various benefits as detailed on Uber's careers page.