Junior Data Scientist
MLCAN
About the role
About MLCAN
MLCAN is a Calgary-based deep-tech startup revolutionizing oil and gas measurement systems. Our flagship product is an AI-powered smart flow meter designed for accurate, real-time multiphase flow measurement at the wellhead. We are currently preparing for field pilot testing and scaling our technology for commercialization.
Job Overview We are looking for a motivated Junior Data Scientist to join our growing team at MLCAN. In this role, you will support the development of data-driven insights by working with structured and unstructured datasets. You will assist in building and maintaining analytical workflows for pattern detection, modeling, and data exploration. Collaborating with senior team members and engineers, you will help ensure data quality and contribute to the implementation of validation checks within production processes. You will also support ongoing analytical requests, helping translate business questions into clear, actionable insights while continuing to develop your technical and analytical skills., and play a key role in delivering data-driven solutions that have real impact.
Key Responsibilities • Clean, process, and analyze structured and unstructured datasets • Develop and validate machine learning models • Perform exploratory data analysis and communicate insights clearly • Collaborate with senior data scientists and engineers on projects • Assist in deploying models into production environments • Document workflows, models, and findings
Required Qualifications • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field • Strong foundation in Python and ML frameworks (e.g., scikit-learn, PyTorch) • Solid understanding of machine learning concepts • Experience with data visualization tools (e.g., Matplotlib, Seaborn, or similar) • Strong analytical thinking and problem-solving skills • Experience working with time-series data (e.g., signal processing, forecasting, sensor data analysis) is bonus.
Why Join Us?
At MLCAN, you’ll work at the intersection of energy and AI, gain exposure to high-impact field projects, and contribute to sustainable innovation in Canada’s energy sector. We offer a dynamic startup environment where your contributions directly shape the future of our technology.
Job Type: Full-time
Pay: $55,000.00-$65,000.00 per year
Work Location: In person
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- Strong foundation in Python and ML frameworks (e.g., scikit-learn, PyTorch)
- Solid understanding of machine learning concepts
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, or similar)
- Strong analytical thinking and problem-solving skills
- Experience working with time-series data (e.g., signal processing, forecasting, sensor data analysis) is bonus
Responsibilities
- Clean, process, and analyze structured and unstructured datasets
- Develop and validate machine learning models
- Perform exploratory data analysis and communicate insights clearly
- Collaborate with senior data scientists and engineers on projects
- Assist in deploying models into production environments
- Document workflows, models, and findings
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free