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
This role is ideal for a candidate with a robust background in machine learning, particularly with expertise in time series forecasting and optimization, who is eager to impact business outcomes through innovative pricing and promotional solutions.
Responsibilities:
- Develop and implement advanced machine learning models to enhance pricing strategies and promotional effectiveness, focusing on both demand forecasting and optimization.
- Build end-to-end solutions utilizing our unique data sources, from data exploration, model design, training, testing, deployment, to monitoring and maintenance.
- Collaborate with cross-functional teams to introduce machine learning innovations and address optimization challenges within pricing and promotional planning, aimed at improving revenue growth, profitability, and overall business efficiency.
- Drive insights and strategies by leveraging strong analytical skills along with machine learning and statistical models to capitalize on new business opportunities.
Basic Qualifications
- MS or equivalent experience in a quantitative field such as computer science, data science, math, statistics, or physics
- Two years applied machine learning experience in a professional setting, familiar with at least one mainstream deep learning framework, such as TensorFlow or PyTorch.
- Proficiency in Python and/or other object oriented programming language and experience with ML frameworks
- Ability to work in a fast-paced start-up environment and deliver excellent results
- Strong communication skills, and ability to work with multiple stakeholders
Preferred Qualifications
- Experience with time series models and forecasting.
- Proven track record of solving complex optimization problems.
- Familiarity with promotional planning and pricing strategies; direct experience would be advantageous but not required.
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 $149,000 - 175,000
- 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
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