ABOUT WEEE!

Weee! is the largest and fastest-growing ethnic e-grocer in the United States, operating in one of the largest underserved categories in retail with affordable access to exciting ethnic food. By partnering with local suppliers, redesigning the value chain and leveraging social buying, Weee! is reshaping the grocery business entirely. You can read more about us on Business Insider, Reuters and TechCrunch.
Weee! is headquartered in Fremont, CA, and is currently available coast to coast with exceptional growth (5x YoY) across geographies, categories and ethnicities. We have raised $800M+ in funding to date from leading investors including Softbank Vision Funds, DST, Blackstone, Tiger Global, Lightspeed Ventures, Goodwater Capital, XVC and iFly. The opportunity now is to join a rocketship as we prepare for the next stage of growth, and an eventual public listing.

QUALIFICATIONS

• MS or Ph.D. or equivalent experience in a quantitative field such as computer or data science, math, statistics, or physics
• 2+ years of experience in developing and deploying machine learning or deep learning models in a professional setting
• Domains of expertise should include at least one of the following: collaborative filtering, content based recommender systems, link-click prediction, predictive customer targeting
• Advanced SQL skills
• Ability to work in a fast-paced start-up environment and deliver excellent results
• Strong communication skills, and ability to work with multiple stakeholders

ABOUT THE ROLE

We’re looking for a data scientist to support our personalization initiative. This role will leverage the latest machine learning techniques to create a personalized experience to better serve the needs of Weee!’s customers.

RESPONSIBILITIES:

• Apply advanced knowledge of SQL and the ability to build complex modeling features
• Build machine learning models that leverage our unique data sources to recommend optimal product, offer, content, and information
• Build end-to-end infrastructure from exploring your data, designing, deploying, testing, to monitoring your own models
• Help identify new opportunities by applying machine learning and statistical models for improved business outcomes
• Be a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems