Data Scientist at Numeris | CA | Rezi

Data Scientist at Numeris

Data Scientist

Numeris · CA

2 weeks ago

Data Scientist

Numeris · CA

14 days ago
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About the Role

Numeris is seeking a Data Scientist to design, develop, validate, and monitor advanced analytics, statistical models, machine learning solutions, and data products. This role will enhance products, operations, and decision-making by translating complex analytical findings into actionable insights for various stakeholders.

Responsibilities

  • Conduct advanced data analytics, modelling, fusion/integration, and machine learning initiatives.
  • Develop and enhance algorithms for sample design, weighting/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, applying research and data science standards.
  • Support cross-functional teams by providing analytics, presenting findings, and informing decisions.
  • Maintain current knowledge of statistical methods, machine learning, and AI-assisted analytics.

Requirements

  • 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.
  • Experience in advanced analytics, data integration, and machine learning.
  • Proficiency in Python, SQL, or equivalent.
  • Familiarity with reproducible analytical practices including Git, modular development, testing, and documentation.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Ability to communicate findings to technical and non-technical audiences.
  • Experience working with survey, panel, weighting, audience measurement, or large-scale behavioural datasets.
  • Experience with relational databases and modern cloud data warehouse or lakehouse platforms.
  • Familiarity with automated data pipelines, workflow orchestration, and distributed data processing.
  • 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.

Skills

  • Applied statistics
  • Sampling
  • Statistical inference
  • Regression
  • Imputation
  • Model evaluation
  • Forecasting
  • Advanced analytics
  • Data integration
  • Machine learning
  • Python
  • SQL
  • Git
  • Modular development
  • Testing
  • Documentation
  • Analytical skills
  • Problem-solving skills
  • Communication skills
  • Collaboration skills
  • Survey data
  • Panel data
  • Weighting
  • Audience measurement
  • Behavioural datasets
  • Relational databases
  • Cloud data warehouse
  • Lakehouse platforms
  • Automated data pipelines
  • Workflow orchestration
  • Distributed data processing
  • Natural language processing
  • AI-driven methodologies
  • Large Language Models
  • Synthetic population frameworks

Location

  • Toronto

Work Type

  • Hybrid

Experience Level

  • Up to 3 years

Education Level

  • Undergraduate or Graduate degree in Statistics, Data Science, Mathematics or related quantitative fields
  • Accredited statistician or Advanced Data Science certification preferred
  • Data Science certification preferred

Salary/Compensations

  • $75,000 - $95,000

Benefits

  • Benefits package
  • Group savings and retirement program
  • Health and Dental employer paid premiums
  • 4 weeks paid vacation
  • Education Reimbursement up to $1000 per year
  • Continuous learning and development via Percipio
  • MentorMe program
  • Leadership Training offerings
  • Perkopolis program

About the Company

  • Numeris is Canada’s most trusted and authoritative source for broadcast measurement and consumer behaviour data.
  • Industry leading intelligence provider to broadcasters, advertisers, and agencies.
  • 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.

Equal Opportunity

  • 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.