Senior Data Scientist

Agrovision is a global food company disrupting the traditional produce category by inspiring nutritious and enjoyable snacking. Our berries delight consumers in every bite, offering unmatched flavor, size, and quality. Through our leading brand, Fruitist, we’re setting a new standard in the berry category, with a signature taste, jumbo size, and reliable quality that consumers love. What sets Agrovision apart is our innovative, fully integrated operating model that redefines how berries are grown, harvested, and delivered. Unlike traditional systems, where fragmented value chains hinder consistency and innovation, our approach ensures quality from farm to table. We call it putting an end to "berry roulette"—the inconsistent quality and supply that frustrate both consumers and retailers. By leveraging cutting-edge technology and a relentless focus on excellence, we’re not just growing berries; we’re creating a global movement of premium berry enthusiasts, with a year-round supply of the freshest, tastiest berries in the world.

At Agrovision, we’re harnessing the power of data to revolutionize agriculture, and we’re looking for Senior Data Scientists to help lead the way. Reporting to the Head of Data, you’ll dive deep into complex datasets, unlocking impactful insights that fuel our next big moves. Using cutting-edge machine learning and AI modeling techniques and a problem-solving mindset, you’ll transform raw data into valuable, actionable recommendations—driving growth, innovation, and smarter decision-making across our global operations. Agrovision has invested deeply in collecting observations across the entirety of the value chain, to provide berry-level data ripe for transformation into predictive and prescriptive insights for business teams. We’re constantly experimenting with new technology and excited for our data science teams to drive the next generation of solution creation for our company globally. This role is remote, with priority given to those who reside in Chicago, Boston, New York, Dallas or Miami.

What You’ll Do

• Turn business challenges and copious amounts of internal and external data into innovative analytics solutions that drive impact
• Partner with business leaders to identify opportunities to introduce data science practices and solutions to solve problems and improve business outcomes
• Develop advanced ML/AI models and algorithms that spark innovation across the organization
• Use statistical analysis to uncover insights, identify trends, and measure performance
• Mentor teams, guiding analytic strategies and weighing the best approaches
• Align data engineering efforts with future data science goals for breakthrough results
• Advise leaders on modeling risks, ensuring accurate insights and highly performant models are being developed
• Collaborate with engineers to implement scalable, high-impact data solutions
• Lead by exploring best practices, being curious, running experiments, and collaborating with experts
• Drive transformation, inspiring teams to challenge norms and innovate
• Manage end-to-end implementation of scalable, production-grade solutions

What You’ll Need

• Advanced degree in a quantitative field (e.g., computer science, engineering, physics, statistics, applied mathematics)
• 5-10 years’ experience leading data science teams; experience with crop modeling, remote sensing a plus
• Expert level programming skills in Python with a focus on machine learning/AI, statistics and advanced analytics
• Experience with SQL, Spark, Pandas, Numpy, SciPy, is beneficial
• Problem solver and data specialist ability to translate business needs into actionable development workplans from scratch and support Data Scientist through development
• Familiarity with statistical and data engineering techniques to extract actionable insights while ensuring integrity of outputs
• Experience handling large data sets and working with relational databases
• Collaborative mindset with the ability to partner with and clearly communicate complex ideas to both colleagues and clients
• Excellent communicator capable of analyzing issues, identifying causes, and recommending solutions quickly

If you meet most of the qualifications above and connect with our mission to inspire enjoyable and nutritious snacking, we want to hear from you! While we are tech-forward in our embrace of AI to enhance our growing capabilities, we’re human-centric in our hiring. This means all applications will be reviewed by humans, including yours. We aim to respond to applicants within two weeks. We look forward to hearing from you!