HybridHybrid work: on-site office in Toronto and work from home as required.
Data & AnalyticsData Science
About the job
Requirements
An undergraduate or graduate degree in Statistics, Data Science, Mathematics, or a related quantitative field.
Up to 3 years of experience in a similar role or 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 an equivalent tool, and familiarity with reproducible analytical practices including Git, modular development, testing, and documentation.
Strong analytical and problem-solving skills, and the ability to communicate findings to technical and non-technical audiences and collaborate effectively.
Responsibilities
Conduct advanced data analytics, modeling, data fusion and integration, and machine learning initiatives.
Develop and enhance algorithms for sample design, weighting and calibration procedures, and production improvements.
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, apply established research, statistical, and data science standards, and escalate 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.
Translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders.
Desired Qualifications
An accredited statistician credential or Advanced Data Science certification.
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.
Salary Range: 75000 to 95000 (Currency: CAD) (Pay period: per-year-salary)
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.
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?
An evolutionary journey in the audience measurement and data space; work on exciting projects, add value & make a positive impact to our Company.
Benefits package, group savings and retirement program. (Health and Dental employer paid premiums).
Hybrid Work: on-site office in Toronto and work from home as required per the role.
4 weeks paid vacation.
Education Reimbursement: For those wishing to pursue additional professional development, funding up to $1000 per year is offered (some conditions apply).
Continuous learning and development via Percipio, our Learning Management System.
Be part of additional programs such as MentorMe, which helps our employee’s network, and grow within the organization.
Leadership Training offerings for new and emerging leaders.
Culture of great teams, coworkers and supportive leadership.
Perkopolis: Participation in a program that provides exclusive discounts on products and services to employees. Perks include shopping discounts, movie tickets, services, event/show tickets and much more!
Values
Stronger Together:
We succeed through collaboration with each other and with the industry. Unity drives our impact.
Innovation with Intent:
We embrace change and challenge convention. Our innovation is purposeful, driven by insights, guided by strategy, and focused on delivering meaningful future-proofed solutions.
We Before Me:
We put shared goals at the centre of how we work. By supporting one another, sharing accountability, and valuing diverse perspectives, we create an environment where people contribute fully and teams achieve more together.
Excellence in Motion:
We pursue continuous improvement in everything we do, from our processes to our time to market. With a growth mindset and a commitment to excellence, we bring solutions to life with precision and purpose.
Numeris is an equal opportunity employer
We are committed to creating an accessible environment for all our employees and foster a culture that focuses on diversity, equity, inclusion and belonging. We believe that a diverse workforce helps everyone contribute in meaningful ways towards our shared success.