Scientist Machine LearningScientifique en apprentissage automatique

IPEX is one of the North American leading providers of advanced plastic piping systems. Our mission isto shape a better tomorrow by connecting people with water and energy.

We currently have anexciting opportunityfor an Scientist Machine Learning.

This role is an Hybrid position with expectations to be onsite in our offices in Oakville Tuesday Wednesday and Thursday.

Do not miss the opportunity to join a diverse group of people-centric professionals thought leaders and rapid thinkers entrepreneurs in spirit and status quo-fighters!

Job Summary

The Applied Machine Learning Scientist develops validates and operationalizes machine-learning and statistical solutions that improve supply-chain decisions. The role is primarily focused on demand forecasting inventory optimization and related decision-support problems. The successful candidate will combine strong applied modelling skills with the ability to work independently in Python and SQL build reliable model-ready datasets and translate experiments into maintainable production solutions. The role works closely with the Manager of Advanced Analytics & Machine Learning and with business and technical stakeholders to ensure solutions are measurable explainablescalable and aligned with operational constraints.

Key Responsibilities:

Applied Modelling & Experimentation

Develop and improve forecasting and optimization models for supply-chain and operational use cases.

Perform feature engineering model selection hyperparameter tuning error analysis and structured experimentation.

Design evaluation frameworks using time-aware validation backtesting and business-relevant performance metrics.

Apply appropriate statistical and machine-learning methods including time-series analysis regression probabilistic modelling and tree-based models.

Investigate model bias uncertainty drift and failure modes and recommend practical improvements.

Productionization & Data Workflows

Write clear maintainable production-quality Python and SQL.

Build and maintain scalable model workflows and model-ready datasets using Snowflake and collaborative analytics environments such as HEX.

Operationalize model outputs through reliable data pipelines versioning monitoring retraining and alerting practices.

Contribute to shared coding testing documentation and model-governance standards.

Project Execution & Collaboration

Own defined modelling workstreams from problem formulation through validation implementation and business adoption.

Partner with Supply Chain IT Data and other stakeholders to define objectives constraints and success measures.

Present technical findings clearly and translate model results into actionable business recommendations.

Evaluate emerging methods and technologies based on their practical value to current business problems.

Qualifications & Experience

Education & Experience

Masters degree in Data Science Statistics Computer Science Mathematics Operations Research or a related quantitative field; or a bachelors degree with equivalent applied machine-learning experience.

Three or more years of applied data-science or machine-learning experience including meaningful ownership of a production modelling solution.

Demonstrated experience taking a modelling problem from raw data through feature engineering validation implementation and performance review.

Required Technical Skills

Strong Python skills including practical use of pandas NumPy scikit-learn and gradient-boosting libraries such as LightGBM or XGBoost.

Strong SQL skills and the ability to independently create validate and troubleshoot large analytical datasets. Strong foundation in statistics experimental design time-series validation model evaluation and leakage prevention.

Ability to design solutions that respect real operational constraints and balance model performance with maintainability and adoption.

Clear written and verbal communication with both technical and business audiences.

Preferred Assets

Experience with demand forecasting inventory supply-chain analytics manufacturing or operations research.

Experience with Snowflake or another modern cloud data platform. Familiarity with Git automated testing model versioning monitoring and reproducible ML workflows.

Exposure to MLOps deep learning or generative AI where relevant to an applied business problem.

Credentials or practical knowledge in operations supply chain Lean or CPIM are an asset.

The compensation for this position is between$91300and $110000annually based on experience and qualifications.

IPEX is committed to providing accommodations for people with disabilities throughout the recruitment process and upon request will work with qualified job applicants to provide suitable accommodation in a manner that takes into account the applicants accessibility needs due to disability. Accommodation requests are available to candidates taking part in all aspects of the selection process for IPEX jobs. To request an accommodation please contact HR at

Required Experience:

IC

Employment Type : Full-Time
Experience: years
Vacancy: 1
Yearly Salary Salary: 91300 - 110000