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.
- 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 / ye
- $160,000 CAD / ye
