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 Advanced Analytics in Toronto employer: Numeris
At Numeris, we pride ourselves on being a leading employer in the audience intelligence sector, offering a dynamic work culture that fosters collaboration and innovation. Our Toronto-based team enjoys a hybrid work model, competitive benefits, and ample opportunities for professional growth, ensuring that every employee can thrive while contributing to meaningful projects that shape the industry. Join us to be part of a supportive environment where your expertise as a Senior Project Manager will directly impact our success and the value we deliver to our clients.
