Senior Scientist - UberEats Personalization (ML)

$174,000 - $193,500/Yr

Uber - New York, NY

Full-time - Mid Level

Remote - New York, NY

Transit and Ground Passenger Transportation

About the position

As a Senior Scientist in the Eats division at Uber, you will play a pivotal role in shaping the grocery experience for our users. Your primary responsibility will be to design and analyze large-scale experiments that focus on grocery users within the Eats app. This involves performing strategic deep dives to uncover opportunities for product and business growth, which includes funnel optimization, user segmentation, and lifetime value forecasting. You will collaborate closely with cross-functional partners, including Product, Engineering, and Design, to gain insights into user behaviors that will inform future product strategies. Additionally, you will work in tandem with machine learning teams to identify opportunities for enhancing ranking and personalization within the app. Your findings will be crucial in guiding senior management's business decisions, as you will present your analyses and insights to them. This role requires a strong analytical mindset, as well as the ability to communicate complex technical information clearly to both technical and non-technical audiences. You will be expected to leverage your experience in algorithm prototyping and development to contribute to the team's success in optimizing the marketplace for all parties involved.

Responsibilities

• Design and analyze large-scale experiments on grocery users in the Eats app.
• Perform strategic deep dives to uncover opportunities for product and business growth, including funnel optimization, user segmentation, and lifetime value forecasting.
• Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies.
• Work closely with ML teams to uncover opportunities to improve ranking and personalization.
• Present findings to senior management to inform business decisions.

Requirements

• 5+ years of industry experience.
• Experience in algorithm prototyping and development.
• Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
• Ability to use Python or R 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.
• Minimum 3 years of industry experience as a Data Scientist or equivalent.
• Experience in experimental design and analysis, exploratory data analysis, and statistical analysis.
• Experience with dashboard/data visualization tools.
• Proficiency in SQL.
• Experience guiding and mentoring other Scientists.
• Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
• Excellent communication skills across technical, non-technical, and executive audiences.

Benefits

• Participation in Uber's bonus program.
• Potential equity award and other types of compensation.
• Various health and wellness benefits.