Data Scientist

About the role

Numeris is Canada’s most trusted and authoritative source for broadcast measurement and consumer behaviour data. As well, the industry leading intelligence provider to broadcasters, advertisers, and agencies. We have been recognized for over 75 years as providing the gold standard in audience intelligence.

We have great people who do exceptional work. We take pride in building an environment of continuous learning and career advancement opportunities. Our teams are collaborative, curious, and dedicated to creating quality experiences. We love what we do, enjoy each other’s company, and support initiatives to give back to our communities. We are looking for people to help us shape the future of Numeris, and have a lot of fun along the way.

Numeris is seeking a Data Scientist who will be responsible for designing, developing, validating, and monitoring advanced analytics, statistical models, machine learning solutions, and data products that enhance our products, operations, and decision-making. Working with internal and external data sources and methodologies, the Data Scientist will translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders.

What you will do - Conduct advanced data analytics, modelling, fusion/integration, and machine learning initiatives

- Develop and enhance algorithms that can be deployed for sample design, weighting/calibration procedures, and improvements in production.

- Contribute to the application and review of data mining, data integration and hybrid methodologies.

- Review statistical and machine learning models developed internally or by external business partners, applying established research, statistical and data science standards and escalating issues as appropriate.

- Support cross-functional teams by providing analytics, presenting findings, and informing team decisions.

- Maintain current knowledge of statistical methods, machine learning and AI-assisted analytics.

What you have - Undergraduate or Graduate degree in Statistics, Data Science, Mathematics or related quantitative fields.

- An accredited statistician or Advanced Data Science certification preferred

Required Skills:

- Up to 3 years of experience in a similar role/field

- Strong expertise in applied statistics, including sampling, statistical inference, regression, imputation, model evaluation and forecasting, supported by experience in advanced analytics, data integration and machine learning.

- Proficiency in Python, SQL, or equivalent, and familiarity with reproducible analytical practices including Git, modular development, testing and documentation.

- Strong analytical, problem-solving, communication and collaboration skills, including the ability to communicate findings to technical and non-technical audiences.

Preferred:

- Experience working with survey, panel, weighting, audience measurement, or large-scale behavioural datasets, as well as relational databases and modern cloud data warehouse or lakehouse platforms.