K&K Global Talent Solutions INC.
Senior Data Scientist – Machine Learning
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Ontario, Canada
Work mode:
Onsite
Published on:
28 September 2026
What they need
Position: Senior Data Scientist – Machine Learning
Location: Hybrid- Toronto, ON
Job type: Full-Time/Permanent Hiring
We are seeking an experienced Senior Data Scientist to support AI CoE Machine Learning and Data Science initiatives. The role focuses on applied machine learning, statistical modeling, analytics, and delivering end-to-end data science solutions.
Key Responsibilities
- Build and evaluate machine learning models, including regression and classification .
- Perform data exploration, preparation, feature engineering, model development, validation, and evaluation.
- Apply predictive modeling, forecasting, experimentation, and A/B testing to solve business problems.
- Translate business problems into practical data science solutions.
- Generate actionable insights from data and model outputs.
- Work with data scientists, ML engineers, data engineers, and business stakeholders.
- Support data science solutions from exploration through production readiness.
- Communicate analytical findings, model results, trends, and insights to stakeholders.
Required Skills
- Strong Python and SQL expertise.
- Machine Learning and Predictive Modeling.
- Regression and Classification.
- Statistical Modeling and Analytics.
- Forecasting.
- Feature Engineering.
- Model Evaluation and Validation.
- Experimentation / A/B Testing.
- Strong analytical and problem-solving skills.
Preferred Skills
- Azure / Azure ML
- Databricks
- MLflow
- Tableau or Power BI.
- Experience with churn prediction, personalization, recommendation systems, marketing optimization, anomaly detection, or experimentation frameworks.
Ideal Experience
- Hands-on experience delivering end-to-end data science solutions .
- Ability to work independently and collaborate with technical and business teams.
- Experience in cloud-based data science environments is an asset.
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