FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Design, develop, validate and monitor advanced analytics, statistical models, machine learning solutions and data products
- 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 data mining, data integration and hybrid methodologies
- Review internal and external statistical and machine learning models against research, statistical and data science standards
- Escalate issues as appropriate
- Support cross-functional teams with analytics and decision-making
- Present findings to technical and non-technical stakeholders
- Maintain current knowledge of statistical methods, machine learning and AI-assisted analytics
Requirements
What you’ll need- Undergraduate or Graduate degree in Statistics, Data Science, Mathematics or related quantitative fields
- Accredited statistician or Advanced Data Science certification preferred
- 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 with survey, panel, weighting, audience measurement, or large-scale behavioural datasets preferred
- Experience with relational databases and modern cloud data warehouse or lakehouse platforms preferred
- Familiarity with automated data pipelines, workflow orchestration and distributed data processing preferred
- Experience implementing, deploying and scaling analytical or machine learning models in production environments preferred
- Familiarity with natural language processing, AI-driven methodologies, Large Language Models and synthetic population frameworks considered an asset
Benefits
Comp & perks- Benefits package with group savings and retirement program
- Employer-paid health and dental premiums
- Hybrid work with Toronto office and work from home as required
- 4 weeks paid vacation
- Education reimbursement up to $1000 per year
- Continuous learning and development via Percipio
- MentorMe networking and career growth program
- Leadership training for new and emerging leaders
- Supportive team and leadership culture
- Perkopolis employee discounts on products and services