Machine Learning Data Scientists
About the role
Uber Grocery is looking for a Scientist to join their team. This role works closely with ML teams to design algorithms and uncover opportunities to improve ranking and personalization. The Scientist designs and analyzes large-scale experiments on grocery users in the Eats app to discover insights that improve the discovery platforms. They collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies. They present findings to senior management to inform 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.
Qualifications
- 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
- For New York, NY-based Roles: Base salary range is USD$174,000 - USD$193,500 per year.
- For San Francisco, CA-based Roles: Base salary range is USD$174,000 - USD$193,500 per year.
- You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of compensation.
- You will also be eligible for various benefits. More details can be found at the following link: https://www.uber.com/careers/benefits.
Schedule
Unless formally approved to work fully remotely, employees are expected 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.
Pay
- For New York, NY-based Roles: Base salary range is USD$174,000 - USD$193,500 per year.
- For San Francisco, CA-based Roles: Base salary range is USD$174,000 - USD$193,500 per year.
Skills
- 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.
- 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
- For New York, NY-based Roles: Base salary range is USD$174,000 - USD$193,500 per year.
- For San Francisco, CA-based Roles: Base salary range is USD$174,000 - USD$193,500 per year.
- You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of compensation.
- You will also be eligible for various benefits. More details can be found at the following link: https://www.uber.com/careers/benefits.
Application Instructions
If you have a disability or special need that requires accommodation, please let us know by completing this form. 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.