Senior Data Scientist – Manufacturing Analytics
DO YOU LOVE TO CODE AND CREATE AMAZING APPLICATIONS?
MAK Consulting is an exciting and innovative software development company based in Burlington and Brantford, Ontario. We have an immediate opening for a current or future superstar Data Scientist.
The ideal candidate would reside within commuting distance to either our Brantford or Burlington office. Currently, MAK’s team is following a hybrid structure, working two days a week in one of our office locations.
JOB DESCRIPTION
We are seeking an experienced Data Scientist to join our manufacturing analytics team. This role involves using data from manufacturing execution systems (MES), industrial automation (sensors, IoT), and other factory sources (e.g., maintenance data) to build, train, and maintain models that drive insights and efficiency improvements in manufacturing operations.
The ideal candidate has experience implementing, training, fine tuning and maintaining machine learning models. Additionally has knowledge and experience implementing RAG (retrieval-augmented generation) tools including maintaining and optimization. A background in manufacturing, ideally with hands-on experience working in factory data environments.
Responsibilities
Extract, clean, and transform MES, sensor, and factory data for machine learning model development and deployment.
Develop, train, and maintain predictive and prescriptive models to improve production processes, reduce downtime, and enhance maintenance schedules.
Implement RAG approaches and integrate relevant data sources to boost model performance and accuracy.
Monitor model performance over time and manage retraining processes to maintain model accuracy in production.
Collaborate with cross-functional teams, including manufacturing engineers and IT, to understand data requirements and implement robust analytics solutions.
Document processes and code in GitHub to ensure reproducibility, version control, and collaboration across teams.
Technical Requirements
Programming: Proficiency in Python for data processing, machine learning, and model deployment.
Databases: Knowledge of Microsoft SQL and Snowflake for data storage, retrieval, and management.
Machine Learning Platform: Familiarity with Azure ML Ops for deploying and managing machine learning models at scale.
Version Control: Working knowledge of GitHub for code management and collaboration.
QUALIFICATIONS
Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
3+ years of experience in a Data Science role training and maintaining models.
Hands-on experience with RAG implementation and model training/maintenance.
Excellent communication skills, with the ability to work collaboratively with cross-functional teams.
BONUS QUALIFICATIONS
Experience in Manufacturing or industrial environments.
Experience in MES, sensor, and factory data integration.
Experience with Snowflake, Microsoft SQL is a plus.