Apply advanced analytics and machine learning at Numeris in Toronto, using statistical modelling to strengthen audience intelligence and decisions. As a Data Scientist, you will design, develop, validate, and monitor models, solutions, and data products. You will work with internal and external data sources and methodologies. Your analysis will support products, operations, and decision-making through actionable insights.

Key Responsibilities
Conduct advanced analytics, modelling, data fusion, and machine learning initiatives Develop algorithms for sample design and weighting procedures Review statistical and machine learning models against established standards Support cross-functional teams with analytics and presented findings Maintain knowledge of statistical methods,



machine learning, and AI-assisted analytics

Requirements:
Degree in Statistics, Data Science, Mathematics, or related quantitative field Up to three years of experience in a similar field Expertise in sampling, inference, regression, imputation, evaluation, and forecasting Proficiency in Python, SQL, or equivalent Experience with Git, testing, documentation, and modular development Bring statistical expertise, Python or SQL proficiency, and machine learning knowledge to Numeris audience intelligence products.

📌 Data Scientist (Canada)
🏢 Numeris
📍 Canada