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).
• 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!

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.