Data Scientist

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
• 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.
• 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.
• Familiarity with automated data pipelines, workflow orchestration and distributed data processing, including working efficiently with large datasets.
• Experience implementing, deploying and scaling analytical or machine learning models in production environments. Familiarity with natural language processing, AI-driven methodologies, Large Language Models and synthetic population frameworks is considered an asset.

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.
• Familiarity with automated data pipelines, workflow orchestration and distributed data processing, including working efficiently with large datasets.
• Experience implementing, deploying and scaling analytical or machine learning models in production environments. Familiarity with natural language processing, AI-driven methodologies, Large Language Models and synthetic population frameworks is considered an asset.

What's in it for you?

Additional information

Stronger Together:

Innovation with Intent:

We Before Me:

Excellence in Motion:

Numeris is an equal opportunity employer