$100,000.00-$110,000.00 ually YEAR 6/23/2026 11:38:46 AM 6/23/2026 11:38:46 AM R & D Engineer - Data Science <div>Agilus by Synergie is recruiting for a R & D Engineer - Data Science in the metals industry in Mississauga, Ontario. The R&D Engineer - Data Science is responsible for analyzing operational and test data, developing algorithms, and researching, building, evaluating, tuning, and deploying predictive and machine learning models for manufacturing process control, optimization, and simulation. This role applies statistical analysis, data visualization, machine learning, and data processing techniques to identify patterns, interpret results, improve data quality, and develop data-driven solutions for development and production applications. Total rewards:<ul><li>$100000.00 - $110000.00 annually</li><li>Health & Dental Benefits</li><li>Vacation allotment</li></ul>A typical day:<ul><li>Develop and maintain data processing, cleaning, and validation routines to ensure data quality, consistency, and usability. Troubleshoot data collection and data quality issues across development and production environments.</li><li>Research, develop, evaluate, tune, and deploy predictive and machine learning models for manufacturing process control, optimization, and simulation. Build and maintain end-to-end machine learning pipelines, from data ingestion and validation through deployment and inference.</li><li>Monitor and analyze model and system performance, identify sources of prediction error, and tune models and integrated systems to improve accuracy and reliability in development and production applications. Investigate, recommend and integrate appropriate machine learning technologies into the company’s production platforms.</li><li>Perform statistical analysis, data visualization, and interpretation of results to identify trends, patterns, and improvement opportunities. Collect, review, clean, and validate operational and test data for use in modeling, analytics and reporting.</li><li>Participate in onsite engineering visits to customer locations, including international travel, to support project development and implementation.</li><li>Develop reusable tools, procedures, and workflows to support deployment, monitoring, operations, and process automation. Participate in the development and maintenance of dashboards that summarize key performance indicators (KPIs) for data collection equipment and model health</li><li>Prepare technical documentation, progress reports, analysis summaries, and internal or external project updates.</li></ul>Successful candidates will have:<ul><li>Degree or Diploma in Electrical, Computer Engineering or a related field</li><li>3+ years related experience. Experience using Python for data analysis, algorithm development, and machine learning model development.</li><li>Strong programming skills in Python, with solid understanding of data structures, algorithms, and software development principles.</li><li>Strong understanding of supervised machine learning methods for regression and classification, including their practical advantages, limitations, and appropriate use cases.</li><li>Hands-on experience with common data science, machine learning, and data visualization libraries, such as pandas, NumPy, scikit-learn, PyTorch, Matplotlib, Seaborn, or equivalent tools.</li><li>Experience designing and implementing end-to-end machine learning solutions, including data ingestion, preprocessing, validation, training, evaluation, deployment, and inference.</li><li>Strong understanding of data pipeline stages and practical experience developing data processing and cleaning routines. Experience with time-series analysis, forecasting, and regression-based modeling. Experience with spectral analysis and strong understanding of Fourier Transform concepts. Knowledge of statistical techniques and concepts, including regression, probability distributions, statistical testing, and proper application of statistical methods. Experience with object-oriented programming and application development. Experience with C#, C++ or VB.net is an asset.</li><li>Willingness to travel internationally. Must be able to travel to foreign countries including the United States without restrictions.</li></ul><div>This posting is for an active opening. </div>Interested? Please apply directly online Agilus by Synergie would like to thank all candidates for their interest in this opportunity. Due to the volume of resumes we receive; we may only be able to respond directly to those candidates being selected for an interview.We encourage you to visit agilus.ca regularly or subscribe to our email alerts at <a href="https://en.agilus.ca/Account/Register" >agilus.ca/Account/Register</a> as new exciting employment opportunities become available daily.</div> Mississauga ON L5R 3K6 Permanent Mississauga, ON 2216

23 Jun 2026

R & D Engineer - Data Science

Mississauga, ON

Agilus by Synergie is recruiting for a R & D Engineer - Data Science in the metals industry in Mississauga, Ontario.
The R&D Engineer - Data Science is responsible for analyzing operational and test data, developing algorithms, and researching, building, evaluating, tuning, and deploying predictive and machine learning models for manufacturing process control, optimization, and simulation. This role applies statistical analysis, data visualization, machine learning, and data processing techniques to identify patterns, interpret results, improve data quality, and develop data-driven solutions for development and production applications.
Total rewards:

$100000.00 - $110000.00 annually
Health & Dental Benefits
Vacation allotment

A typical day:

Develop and maintain data processing, cleaning, and validation routines to ensure data quality, consistency, and usability. Troubleshoot data collection and data quality issues across development and production environments.
Research, develop, evaluate, tune, and deploy predictive and machine learning models for manufacturing process control, optimization, and simulation. Build and maintain end-to-end machine learning pipelines, from data ingestion and validation through deployment and inference.
Monitor and analyze model and system performance, identify sources of prediction error, and tune models and integrated systems to improve accuracy and reliability in development and production applications. Investigate, recommend and integrate appropriate machine learning technologies into the company’s production platforms.
Perform statistical analysis, data visualization, and interpretation of results to identify trends, patterns, and improvement opportunities. Collect, review, clean, and validate operational and test data for use in modeling, analytics and reporting.
Participate in onsite engineering visits to customer locations, including international travel, to support project development and implementation.
Develop reusable tools, procedures, and workflows to support deployment, monitoring, operations, and process automation. Participate in the development and maintenance of dashboards that summarize key performance indicators (KPIs) for data collection equipment and model health
Prepare technical documentation, progress reports, analysis summaries, and internal or external project updates.

Successful candidates will have:

Degree or Diploma in Electrical, Computer Engineering or a related field
3+ years related experience. Experience using Python for data analysis, algorithm development, and machine learning model development.
Strong programming skills in Python, with solid understanding of data structures, algorithms, and software development principles.
Strong understanding of supervised machine learning methods for regression and classification, including their practical advantages, limitations, and appropriate use cases.
Hands-on experience with common data science, machine learning, and data visualization libraries, such as pandas, NumPy, scikit-learn, PyTorch, Matplotlib, Seaborn, or equivalent tools.
Experience designing and implementing end-to-end machine learning solutions, including data ingestion, preprocessing, validation, training, evaluation, deployment, and inference.
Strong understanding of data pipeline stages and practical experience developing data processing and cleaning routines. Experience with time-series analysis, forecasting, and regression-based modeling. Experience with spectral analysis and strong understanding of Fourier Transform concepts. Knowledge of statistical techniques and concepts, including regression, probability distributions, statistical testing, and proper application of statistical methods. Experience with object-oriented programming and application development. Experience with C#, C++ or VB.net is an asset.
Willingness to travel internationally. Must be able to travel to foreign countries including the United States without restrictions.

This posting is for an active opening.

Interested?
Please apply directly online

Agilus by Synergie would like to thank all candidates for their interest in this opportunity. Due to the volume of resumes we receive; we may only be able to respond directly to those candidates being selected for an interview.
We encourage you to visit agilus.ca regularly or subscribe to our email alerts at agilus.ca/Account/Register as new exciting employment opportunities become available daily.

Job Code 155942

We value a diverse workplace.

Agilus by Synergie is committed to employ people from diverse backgrounds and we actively demonstrate inclusiveness through fair, equitable and accessible hiring practices. We recognize the strength that comes from different experiences, backgrounds and perspectives and welcome candidates who identify as visible minorities, Indigenous people, persons with disabilities, and persons within the LGBTQ+ community. We feel it is important as an organization that all people have access and opportunity to be employed, to be valued and to be respected.

Our recruiting process is human-centric and supported by AI. Our AI assistant may reach out to applicants for a prescreen. All results will be reviewed and evaluated by our Canadian based, human recruiting team.

Accommodations for job applicants with disabilities will be provided upon request during the recruitment, assessment, selection and placement process. Alternative format available on Request.