Principal Data Scientist – Food Intelligence & Scoring Systems

• →Advance and maintain our scoring algorithms across nutrition, ingredient processing, ingredient safety, and climate footprint.
   
• →Own and maintain clear documentation explaining how scores and attributes are generated, including research evidence, assumptions, tradeoffs, and limitations.
   
• →Build robust statistical models and QA processes to ensure data accuracy, reliability, and scalability.
   
• →Derive insights from shopper behavior and retailer sales data to illustrate ROI and reinforce value for our partners.
   
• →Collaborate with nutritionists and environmental scientists to translate evidence-based criteria into algorithms.
   
• →Develop lightweight dashboards and automated reporting pipelines that deliver actionable insights to retail and healthcare partners.
   
• →Proactively identify opportunities for deep learning models, AI applications, predictive analytics, and forecasting to enhance our product and data offerings.
   

This role is ideal for a self-starter who thrives in ambiguity, is motivated by impact, and loves solving complex, real-world problems with data. You’ll be a key contributor to GreenChoice’s evolution from a data company into a data + insights company – turning complex food data into defensible, decision-grade insights for retailers and partners.
 

Location is flexible, though US-based candidates are strongly preferred given the nature of our customers, partnerships, and industry engagement.

• 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.
   
• Entrepreneurial mindset: proactive, curious, and able to thrive in a fast-moving, resource-constrained startup environment.
   
• Excellent communication skills and collaborative spirit — we want a partner, not just an executor.
   

• PhD or Master’s degree in a related field.
   
• Background in research and science, biotech, food systems, public health, sustainability, or consumer packaged goods (CPG).
   
• Experience working in early-stage or growth-stage startups.
   
• Familiarity with nutrition, food or CPG datasets, regulatory frameworks (USDA, FDA, WHO), or environmental metrics (GHG Protocol, WFN).
   

GreenChoice’s scoring systems sit at the center of our product, our credibility, and our growth. This role is not about tuning models in isolation – it’s about building something that will be scrutinized by retailers, healthcare organizations, regulators, and the public. If you enjoy high-stakes, real-world applied data science with clear ownership and impact, this role is for you.