Intermediate Data Scientist – RxFood

Location: Toronto, ON (Hybrid)
Type: Full-time
Closing Date: September 31, 2025

About RxFood

At RxFood, we believe food is more than fuel. It's one of the most powerful influences on our health. Yet despite everything we know about nutrition, it remains one of the most overlooked and misunderstood aspects of healthcare. We're changing that! RxFood is an AI-first digital health company transforming how people connect their everyday food choices to long-term health outcomes. Our technology uses advanced image recognition and machine learning to turn meals into personalized, evidence-based insights. But we don't stop at measurement, our platform is designed to spark meaningful behavior change.

We're on a mission to turn every meal into a meaningful step toward better health. If you're passionate about creating products that change lives and you're excited to work in a fast-paced, impact-driven startup, we want to meet you.

The Opportunity

We're looking for an Intermediate Data Scientist to join our growing team and contribute to understanding eating patterns and behaviors while learning from experienced data scientists in a supportive environment.

What You’ll Do

Data Analysis & Insights

  • Analyze complex nutritional and behavioral datasets to understand what and how people eat

  • Develop predictive models to identify patterns in eating behaviors and their impact on health outcomes

  • Create data pipelines and analytical frameworks using Python and Pandas to process large-scale food consumption data

  • Build statistical models to personalize nutrition recommendations based on individual eating patterns

  • Collaborate with senior data scientists to ensure quality implementation of machine learning models

  • Support the development of our recommendation algorithms that turn food data into actionable health insights

Health Impact & Research

  • Participate in research initiatives to validate the connection between food choices and health outcomes

  • Learn to combine qualitative user insights with quantitative dietary data to inform product decisions

  • Support evidence-based approach to nutrition science and behavior change interventions

  • Work with clinical data to understand how dietary patterns affect various health conditions

Collaboration & Growth

  • Work closely with product managers, engineers, clinicians, and nutritionists to support product strategy

  • Explore advanced AI tools and techniques to enhance our understanding of eating behaviors

  • Contribute to a data culture focused on experimentation, continuous learning, and scientific rigor

  • Present findings and insights to cross-functional teams and stakeholders

Who You Are

You're a curious data scientist with a passion for learning and solving real-world health problems. You bring solid analytical fundamentals, a collaborative mindset, and genuine interest in how data can help people make better food choices.

  • You have 2-4 years of data science experience with a desire to grow into more complex analytical challenges

  • You have strong experience with Python, Pandas, and SQL for data manipulation and analysis

  • You're comfortable working with databases, particularly Postgres, and can write efficient SQL queries

  • You have experience with statistical modeling and machine learning techniques, with interest in applying them to health and nutrition data

  • You have basic experience with data infrastructure and are interested in learning how to scale data systems for health applications

  • You enjoy working in cross-functional teams and have some experience collaborating with product managers, engineers, and domain experts in agile environments

  • You're excited about working at a startup: the opportunity to wear multiple hats, see direct impact from your work, and learn to prioritize effectively in a resource-constrained environment

  • You want to do meaningful work that meaningfully improves people's lives, instead of optimizing engagement metrics for social media

  • You value kindness, empathy, and transparent communication: these are core values of our founders and executive team, and essential for everyone who joins

Why Join Us?

  • Work at the cutting edge of nutrition science and digital health

  • Help build data products that make a real difference in people's lives

  • Hybrid team based in Toronto, with flexible hours

  • Competitive salary and benefits package

  • Collaborative and supportive team culture that values initiative, learning, and impact

  • Mentorship opportunities to accelerate your career growth in health tech

How to Apply

Send us your resume at careers@rxfood.com, with a brief note about why you're excited to work with RxFood, and a link to your portfolio or GitHub profile.

RxFood is an equal opportunity employer committed to providing accommodations at all stages through recruitment and employment in accordance with applicable human rights and accommodation legislation. If contacted for an employment opportunity, please advise Human Resources if you require accommodation, including in order to apply for a position.

Please get in touch by email: careers@rxfood.com