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Publié il y a 14 jours

Data Scientist

@ Numeris

Toronto, Ontario

75k–95k $/anHybrideTemps plein3+ ans d’expérience
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En bref

Numeris is hiring a Data Scientist to design, validate and monitor advanced analytics, statistical models, machine learning solutions and data products for its audience measurement business. The role is full-time, hybrid with on-site work in Toronto, and includes three weeks paid vacation and a benefits package.

Salaire :

75 000 $–95 000 $ par année

Responsabilités :

  • Conduct advanced analytics, modelling and machine learning initiatives
  • Develop algorithms for sample design and weighting
  • Review statistical and machine learning models from partners
  • Support cross-functional teams with analytics and presentations
  • Maintain current knowledge of statistical and AI methods

Résumé des exigences :

  • Degree in statistics, data science, mathematics or related field
  • Up to 3 years of similar experience
  • Strong applied statistics and modelling expertise
  • Proficiency in Python or SQL
  • Strong communication and collaboration skills

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesRégime de retraiteAide aux études
Source et dates

Site carrière / système de candidatures · lever

Date publiée par l’employeur
2026-10-23
Première détection par notre source
2026-10-23
Mise à jour du dossier source
2026-11-02

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauDébutant
DomaineDonnées et analytique
Expérience3 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré)
Domaines d’étudesStatistics, Data Science, Mathematics
Avantages mentionnésCongés payés généreux, Régime de retraite, Aide aux études, Rabais employé, Formation payée

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Numeris

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Driving intelligent audience data.

Description complète de l’entreprise

Numeris is a leading audience data company curating data and insights that makes sense of media behaviours in a cross-platform, cross-media world. Fully compliant with Canadian privacy and data protection laws, Numeris uses sophisticated data tracking and measurement technologies to holistically measure linear and digital consumption. As a not-for-profit Joint Industry Committee (JIC), and by and for the Canadian media industry, Numeris leads the development and delivery of transparent and standardized audience data solutions that answer local needs while being aligned to global standards. Visit our website to learn more about what we do and the solutions we provide: https://www.numeris.ca/about-us

Abonnés LinkedIn
14 003
Personnes associées sur LinkedIn
431
Bureaux déclarés
  • 1500 Don Mills Rd, Suite 102, Toronto, Ontario M3B 3K4, CA
  • 800 Boulevard René-Lévesque O #840, Montréal, QC H3B 1X9, CA
Catégories d’activité
  • Media and Entertainment
  • Advertising
  • Video
  • Information Technology Support Services
  • Information Technology
Autres noms enregistrés
  • Numeris
Spécialités
  • Television
  • Radio
  • Video
  • Audio
  • Cross-Media
  • Cross-Platform
  • BVOD
  • Streaming
  • SVOD
  • Social Media
  • Audience Data
  • Advertising
  • Media
  • and Measurement
Le profil indique une agence de recrutement
Non
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Numeris is a leading audience data company curating data and insights that makes sense of media behaviours in a cross-platform, cross-media world. Fully compliant with Canadian privacy and data protection laws, Numeris uses sophisticated data tracking and measurement technologies to holistically measure linear and digital consumption. As a not-for-profit Joint Industry Committee (JIC), and by and for the Canadian…

ChampValeur
SecteurMarket Research
Taille201-500 employees
Siège socialToronto, Ontario
Type d’organisationNonprofit
Fondée en1944
SpécialitésTelevisionRadioVideoAudioCross-MediaCross-PlatformBVODStreamingSVODSocial Media
Offres sur Jobsy7
LinkedInVoir la page
Description

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!

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.

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