Data Scientist driving analytics and experiments for Jerry.ai’s AI - powered advisor for cars, homes, and other physical assets. Embedded across growth, product, AI, or strategic partnerships.
About the role
- Data Scientist developing statistical models, machine learning solutions, and data products for Numeris, Canada’s broadcast measurement leader. Translating complex analytics into actionable stakeholder insights.
Responsibilities
- 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
- 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
- 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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Scientist advancing EXFO’s telecommunications and network analytics. Building predictive models, defining metrics, and guiding AI - informed product and operational decisions.
Data Scientist advancing machine learning for EQ Bank’s digital banking and growth initiatives. Building production models for pricing, personalization, experimentation, and customer engagement.
Senior Manager leading analysts and data scientists for Upstart’s AI lending marketplace. Driving marketing experimentation, attribution, and growth decisions across borrower acquisition channels.
Senior Analytics Engineer building reconciled data models and BI metrics for CSC Generation’s AI - powered omnichannel retail brands. Using SQL, Python, cloud warehouses, and AI tooling to improve business decisions.
Data Scientist II building Python, SQL, and machine - learning solutions for TD’s Canadian personal lending business. Delivering analytics and insights that improve banking decisions.
Data Science Manager leading production ML and experimentation for Homebase’s scheduling, payroll, and workforce management app. Managing data scientists and partnering across product and engineering.
Senior Manager leading Growth Product Insights for The Athletic, a sports media company. Guiding analysts and using experimentation to drive subscription and product decisions.
Product Manager defining and scaling responsible data and AI products at iA Financial Group. Driving roadmaps, experimentation, governance, and cross - functional delivery.
Lead Data Scientist developing AML transaction - monitoring models for RBC, a major Canadian bank. Applying machine learning, rules, and analytics to identify financial crime risk.