Applied Data Scientist

Milk Moovement; San Juan de Terranova; Remote; CAD 140,000 - 160,000; Full time

Job summary

A leading company in the dairy industry, Milk Moovement seeks an Applied Data Scientist to enhance agricultural supply chains using machine learning and data-driven solutions. With a supportive environment, competitive salary, and flexibility, this remote role is ideal for candidates with substantial experience in data science, especially if they have a passion for innovation in the industry.

Benefits

Competitive Salaries

Stock Options

Unlimited Paid Vacation

Health and Dental Coverage

Flexible Hours

Latest Software Tools

Quarterly Culture Events

Qualifications

• 5+ years of experience in data science roles.
• Experience building predictive models and performing regression analysis.
• Fluent in Python and knowledge of data frameworks.

Responsibilities

• Design scalable data systems to solve operational challenges.
• Use regression models to identify supply chain anomalies.
• Collaborate with product design for data-optimized features.

Skills

Machine Learning

Statistical Modeling

Mathematical Optimization

Python

SQL

Data Science

Data Analysis

MLOps

Cloud Platforms

Tools

Pandas

NumPy

TensorFlow

PyTorch

Scikit-learn

AWS

Job description

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.

Remote work 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

We’ll drop everything to ensure our customers feel supported.

Transparency is ingrained in everything we do.

Respect is paramount.

We win and lose as a herd - lessons learned are equally as important as the wins.

We’re all in this together - our company wide thirst for knowledge is unquenchable.

Want to learn a bit more about what makes us moo-nique? Check out our About Us page for company mission, purpose, and values.

Did we mention we love puns?!

How To Apply

To apply, please submit your resume through our Careers page. Don't forget to complete our Get To Know The Candidate form; we love hearing what your favourite dairy products are!

We always conduct remote interviews to ensure accessibility. This role offers flexibility based on your location and work preferences, and we'll collaborate closely with you because we recognize that each individual has unique circumstances.

Don't meet every single requirement? Studies have shown that women and individuals from diverse backgrounds may hesitate to apply for positions unless they meet nearly every qualification. At Milk Moovement, we are deeply committed to enhancing our approach to creating a diverse, inclusive, and value driven workplace. If you’re excited about this role but your past experiences don’t align perfectly with our job description, we encourage you to apply anyway. You may well be the right candidate for this role or others!

Milk Moovement is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. Milk Moovement is committed to providing reasonable accommodations for individuals with disabilities during the application and interview process. If you require an accommodation, please notify your Recruiter.