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Data Scientist

Fremont, California, United States

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.

This role is onsite 5 days a week in Fremont, CA

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

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

Benefits

  • Comprehensive health insurance package, including medical, dental, and vision.  PPO/HMO packages
  • 401k, 4% company match
  • Equity and Bonus 
  • Vacation, sick and holiday time off
  • Monthly mobile stipend
  • Monthly Weee! Points credits

Compensation Range 

  • The US base salary range for this full-time position is $100,000 - $130000
  • This role may be eligible to discretionary bonus, incentives and benefits 
  • Our salary ranges are determined by role, level, and location

The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements.

Weee! is an equal opportunity employer welcoming all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law.  Discrimination or harassment of any kind is not tolerated at Weee!. If you need to inquire about an accommodation or need assistance with completing the application, please email us at applicantaccommodation@sayweee.com.

For more jobs and to find out more about Weee!, visit our career page: https://about.sayweee.com/careers

Softbank Vision Funds

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