Staff Data Scientist

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. 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. About the role We’re looking for a Staff Data Scientist with a passion for working with pricing, marketing, finance, merchandising, and user behavioral data to help define strategy, guide operations, and KPIs. As a Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate and refine the growth strategies. Responsibilities: Build dashboards, self-service tools, and ad hoc reports to analyze and present data associated with customer experience, business operations, and strategic decision making Work closely with the Product team to test, craft, and measure product experiences and identify trends and opportunities Conduct end-to-end analyses, including data gathering from large and complex data sets, processing, and analysis employing advanced statistical and ML methods, with ongoing deliverables to improve user experience Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating metrics and results to stakeholders. Partner with Data Engineering to craft our data infrastructure investments in support of BI needs and ensure the proper tracking and quality of the data Qualifications MS in Math, Statistics, or another closely-related quantitative field 8+ years of Data Analysis experience in data science or analytics with a proven record of applying advanced analytical methods to drive growth, preferably in e-commerce or customer-facing industry Demonstrates proficiency in statistical modeling, machine learning and deep learning modeling Architect scalable dashboards, self-serve tools and pipelines that enable all levels of the business to access trusted, consistent data. Create visualizations using, e.g., Tableau, PowerBI (or similar BI tools) to communicate insights Advanced skills in SQL, Python, R and other analytical tools Able to work with multiple stakeholders and cross collaborate with different business units to quickly understand the business needs Serve as a technical subject matter expert in analytics; strong statistical reasoning skills, experimental design and applied machine learning skills Raise the analytics bar by mentoring other Data Scientists and Analysts, establishing best practices in experimentation, modeling and story telling. Exceptional problem-solving skills Ability to work in a fast-paced start-up environment and deliver excellent results, requiring minimal supervision. Preferred Qualifications Experience managing data pipelines Experience with Retail/Ecommerce; especially merchandising/operation analytics Experience with building systematic solutions Experience with leading or managing teams Benefits Comprehensive health insurance package, including medical, dental, and vision. PPO/HMO packages 401k, 4% company match Equity Annual bonus plan, bi-annual pay out Vacation and holiday time off Monthly mobile stipend Monthly Weee! Points credits Compensation Range The US base salary range for this full-time position is $165,000 - $190,000 This role may be eligible to discretionary bonus, incentives and benefits Our salary ranges are determined by role, level, and location

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