Lead Data Scientist

Company: GreenChoice, PBC – The Food Intelligence Company

Employment Type: Full-Time

Location: Remote (Global)

Experience: 8+ years

About GreenChoice

GreenChoice, PBC is a leading provider of food health and sustainability data and personalization solutions for the grocery industry. GreenChoice gives food retailers instant access to personalized evidence-based food health scores & sustainability scores and verified attribute data on over 1 million food products, with award-winning shelf-edge and e-commerce plugins to meet consumers' changing health needs and values in-store and online. GreenChoice has guided over 10 million healthier purchases. Google named GreenChoice one of the three “Best Apps for Good” in the U.S. GreenChoice is backed by Katapult and BonBillo Ventures, works with Stanford University School of Medicine, is a member of Tufts Friedman School Food & Nutrition Innovation Council, an FMI Tech Finalist, and a Progressive Grocer GenNext Honoree. For more info about GreenChoice, visit: www.greenchoice.co

The Role

We are seeking a Lead Data Scientist to lead the science and analytics behind our Food GreenScore® and 100+ verified health & sustainability attributes. This is a highly strategic, hands-on role that blends statistical modeling, algorithm development, and applied insights.

 

You will work closely with our Head of Engineering (Ajeenckya Gadewar), our registered dietitians, and our Science Advisory Board to:

• 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.
   

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.

What We’re Looking For

• 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.

Nice to Have

• 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 datasets, regulatory frameworks (USDA, FDA, WHO), or environmental metrics (GHG Protocol, WFN).

Compensation & Benefits

• Salary: $60,000–$105,000/year (based on location & experience).
• Equity: 0-1.5% stock options, depending on location and experience
• Flexible scheduling.
• Trust based sick policy. 

Why Join Us

• Be part of a mission-driven, profitable startup tackling one of the most important challenges of our time: helping people eat healthier and more sustainably.
• Play a lead role in shaping the science and insights behind a product already deployed in grocery stores nationwide.
• Work directly with the Founder & CEO, Head of Engineering, and our Scientific Advisory Board.
• Meaningful equity stake and competitive compensation, with flexibility in location.