Data Scientist
- Toronto, ON, Canada
$75,000 - $95,000 a year · Full-time
Applications open in a new tab.
Job details
- Pay
- $75,000 - $95,000 a year
- Job type
- Full-time
- Experience
- Up to 3 years of experience in a similar role/field
- Posting language
- English
- Posted
Original job 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.
\nWhat 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.
- Undergraduate or Graduate degree in Statistics, Data Science, Mathematics or related quantitative fields.
- An accredited statistician or Advanced Data Science certification preferred
- 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.
- 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!
$75,000 - $95,000 a year
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.
\nValues
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.
More about this job
Responsibilities
The Data Scientist will design, develop, and validate advanced analytics, statistical models, and machine learning solutions to enhance business operations. They will translate complex analytical findings into actionable insights for both technical and non-technical stakeholders.
Requirements
Candidates must have an undergraduate or graduate degree in a quantitative field and up to 3 years of experience in a similar role. Strong expertise in applied statistics, Python, and SQL is required, along with the ability to communicate findings effectively.
Skills
- Data science
- Applied statistics
- Machine learning
- Python
- SQL
- Data modeling
- Statistical inference
- Regression
- Forecasting
- Data integration
- Git
- Data mining
- Analytical problem-solving
- Communication
- Collaboration
Benefits
- Health insurance
- Dental insurance
- Paid vacation
- Retirement program
- Education reimbursement
- Professional development
- Mentorship program
- Leadership training
- Employee discounts
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Science & Research
- Software
Keywords
- Data Science
- Statistics
- Machine Learning
- Python
- SQL
- Data Modeling
- Regression
- Forecasting
- Data Integration
- Git
- Data Mining
- Cloud Data Warehouse
- Lakehouse
- Natural Language Processing
- Large Language Models
- Synthetic Population
- Audience Measurement
- Survey Data
- Panel Data
- Weighting
- Calibration
- Predictive Analytics
- Data Pipelines
- Workflow Orchestration
- Distributed Data Processing