ABOUT THE COMPANY Milk Moovement is building a world-class team focused on getting the right milk to the right place at the right time. Our growing herd of employees is driven to provide our clients with the data they need to make critical decisions that impact their operations and ultimately your favourite dairy products. Who is Milk Moovement you might ask? We are a young VC-backed company with humble roots and massive ambitions to disrupt the dairy supply chain. We think differently, act nimbly, and always leave things better than we found them. We're expanding our team to further our mission. Find us out on Twitter, Instagram, LinkedIn (@milkmoovement), and our home page to learn more or hit “apply” below! Please Note: While the role is fully remote, we are currently only accepting candidates based out of Newfoundland & Labrador, Canada. Applications from outside of this area will not be considered at this time. THE ROLE We’re hiring an Applied Data Scientist to join our team and help optimize and streamline agricultural supply chains! As a member of our Data team, you will leverage machine learning, statistical modeling, and mathematical optimization to build intelligent supply chain software and decision-support tooling. Here are some examples of things you might do: - Design and implement scalable data-driven systems to solve real-world operation challenges (e.G. scheduling, plant operations, financial forecasting), including pipelines for data ingestion, modeling (e.G., ML, optimization, statistical), deployment, and monitoring - Use regression and classification models to uncover supply chain anomalies and inefficiencies - Collaborate with product and design to ensure new intelligent,



data-optimized features are embedded within the platform - Stay current with advancements in data science and integrate new techniques as appropriate WHAT WE ARE LOOKING FOR Milk Moovement seeks to have a diverse, inclusive, team-oriented, and curiosity-driven herd. Our technical team thrives on finding innovative solutions to the challenges inherent to digital supply chains, and we expect you will be excited to do so as well. You don’t need experience in the dairy industry - we’ll get you up to speed with our Dairy 101 course (it’s definitely more complicated than you think!).What you do need is experience using data science to solve real-world problems. You will likely have built predictive models, performed regression analysis, and/or applied optimization techniques to drive business outcomes. You are fluent in Python and common statistical and data science frameworks, and eager to be a big contributor in a major growth area for Milk Moovement. You should have 5+ years of experience in similar roles and enjoy creating models and systems that deliver measurable impact for the business. WHAT ELSE - Experience designing and supporting end-to-end data science workflows—including model training, deployment, monitoring, and MLOps practices (e.G., CI/CD, Docker, model versioning) - Proficiency in building and deploying models using frameworks such as Pandas, NumPy, TensorFlow, PyTorch, and Scikit-learn - Demonstrated expertise in writing clean, modular, and efficient Python code, with a deep understanding of software engineering best practices including unit testing, packaging, performance profiling,



and scalable architecture design - Experience developing and applying models—including optimization (e.G., linear and mixed-integer programming), regression, classification, clustering, and time series forecasting—to solve real-world problems like scheduling, routing, and resource planning - Proficiency in SQL and a solid understanding of data warehousing concepts and how to shape data for modeling and analysis - Experience working with cloud platforms (especially AWS), and deploying models using native services such as Sagemaker, EC2, or Lambda NICE TO HAVES - Knowledge of big data technologies (e.G., Spark, Hadoop) - Experience with MM specific data tooling - Terraform, dbt, and Snowflake - Experience with real-time data processing tools (e.G., Kafka, Kinesis) - Experience using container-based services (Docker, ECS, Kubernetes) salary range for this role is $140,000 - $160,000 CAD / yearly WHAT WE OFFER Competitive salaries - we’re constantly reevaluating market trends to ensure we meet or exceed industry standards. Equity - Stock option plan on a standard 4 year vesting schedule with a 1 year cliff. Unlimited paid vacation and flex time - unlimited vacation can be vague and difficult to track; we strongly encourage everyone to take at least 2 weeks off per year plus public holidays. The rest is up to you. Health (mental & physical), dental, & HSA coverage across North America. Work from home environment - work from home or from one of our hubs in Halifax and St. John’s. Flexible hours - night owl or early riser? No problem. Tools - need the latest and great software to perform more efficiently? Ask and you shall receive. Quarterly culture events - trivia, robot building, hackathons, etc. We like to keep it fresh and exciting. ABOUT OUR CULTURE

📌 Remote Applied Data Scientist - C$140,000 - C$160,000 A Year - Remote (Quebec City)
🏢 Milk Moovement
📍 Quebec City