Numeris

Data Scientist

Toronto, Ontario

Actively hiring, first seen by us 10 days ago

Pay: CAD 75,000–95,000/year — pay source
Salary 75,000 – 95,000 CAD per year Values
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting

What you’ll work on

Full posting

Conduct advanced analytics, modelling, data fusion and machine learning projects
Develop algorithms for sample design, weighting and calibration
Review statistical and machine learning models built internally or by partners
Present analytics findings to cross-functional teams to inform decisions

From the employer’s posting

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.

Review statistical and machine learning models developed internally or by external business partners

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

What you’ll bring

All qualifications

Core experience

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

Qualification wording

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.

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.

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

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.

Apply at Numeris

Posting record

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Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 26, 202610 days ago
Recorded sightings: 10
Last seen by us: Nov 4, 2026
Employer says posted: Oct 23, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 10

Similar jobs usually come down between day 7 and day 56.

From 10,195 similar postings that came down. Coming down is not always a hire.

Numeris is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

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Where the posting names them

- 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.

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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).
3 weeks paid vacation.
Hybrid Work: on-site office in Toronto and work from home as required per the role.
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!

The indicated pay range reflects the salary range established by Numeris for this role. Actual offers may vary based on relevant skills, qualifications, experience, and training. This range serves as a general guideline for compensation discussions.

Salary

75,000 – 95,000 CAD per year

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.

Employment type

Full Time

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