Data Scientist

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!