GreenChoice, PBC is looking to solve the problem of providing personalized evidence-based food health scores and sustainability scores to the grocery industry, and is seeking a Lead Data Scientist to lead the science and analytics behind their Food GreenScore and 100+ verified health and sustainability attributes.
Requirements
- 8+ years of experience in data science, with strong expertise in statistical modeling, machine learning, and algorithm development.
- Strong background in applied statistics and data analysis within a science and/or research-heavy field, preferably in nutrition, healthcare, or sustainability.
- Experience designing and maintaining production-ready scientific scoring models and data pipelines.
- Proficiency in Python (Pandas, Scikit-learn, etc.), SQL, and modern data visualization/BI tools.
- Ability to translate complex datasets into actionable insights for non-technical stakeholders.
- Familiarity with nutrition datasets, regulatory frameworks (USDA, FDA, WHO), or environmental metrics (GHG Protocol, WFN)
Responsibilities
- Advance and maintain our scoring algorithms across nutrition, ingredient processing, ingredient safety, and climate footprint.
- Build robust statistical models and QA processes to ensure data accuracy, reliability, and scalability.
- Derive insights from shopper behavior and retailer sales data to generate continuous value for our partners.
- Collaborate with dietitians, environmental scientists, and product managers to translate evidence-based criteria into algorithms.
- Develop lightweight dashboards and automated reporting pipelines that deliver actionable insights to retail partners.
- Proactively identify opportunities for predictive analytics, forecasting, and machine learning applications to enhance our product and data offerings.
Other
- 8+ years of experience
- Excellent communication skills and collaborative spirit
- Entrepreneurial mindset: proactive, curious, and able to thrive in a fast-moving, resource-constrained startup environment
- Flexible scheduling
- Trust based sick policy
