Senior Applied AI Scientist, Advanced Analytics & Modelling - Customer Intelligence

Canadian Tire Corporation, Limited; Toronto; Hybrid; CAD 64.000 - 106.000; Vollzeit

Benefits dieser Stelle

Comprehensive benefits and retirement

Performance incentives

Continuing Education Programs

Well-being perks

Career growth & product discounts

Broadband

Zusammenfassung

Canadian Tire Corporation seeks an experienced Applied AI Scientist to develop and improve models behind a strategic customer intelligence platform. You will work on occasion discovery, transaction classification, and prompts tuning, collaborating with ML/AI Engineers to productionize models and deliver measurable improvements.

Requirements include 5+ years with ML/GenAI, PhD preferred, advanced Python, SQL, PySpark, and experience with Azure/Databricks/MLflow.

Qualifikationen

• Graduate degree with hands-on ML/AI model development
• 5+ years applying ML/AI to complex problems including GenAI
• Strong Python, SQL, PySpark and large-scale data skills
• Experience with prompt design, context construction and model evaluation
• Experience with foundation models, retrieval, fine-tuning or adaptation

Aufgaben

• Develop and improve ML/GenAI models behind customer intelligence platform
• Move experiments into production with ML/AI Engineers
• Design evaluation frameworks and failure analysis
• Improve model accuracy, coverage, stability and interpretability
• Translate business problems into modelling objectives and requirements

Kenntnisse

Python

SQL

PySpark

GenAI

Large-scale data

ML/DL

Prompt engineering

Azure

Databricks

MLflow

Ausbildung

PhD in CS/ML or related field

Tools

Azure

Databricks

MLflow

Jobbeschreibung

What You'll Do:

We are seeking an experienced and hands-on Applied AI Scientist to develop and improve the models behind one of CTC's strategic customer intelligence platforms. The platform combines machine learning, generative AI and large-scale transaction data to identify customer shopping missions and behavioural patterns across hundreds of millions of transactions. Its outputs support Personalization, marketing, merchandising, dealer and broader customer analytics use cases. The successful candidate will focus on improving the quality of the models and their outputs. This includes developing better approaches to customer occasion discovery and transaction classification, testing new ML and GenAI methods, and demonstrating that model changes deliver measurable improvement. Working closely with ML/AI Engineers on the team, this individual will help move new approaches from experimentation into production and become a go-to technical expert on the models and how their outputs should be used. Develop a deep understanding of the existing engine, including occasion discovery, catalogue generation, transaction tagging, feature engineering, model inference and downstream use of model outputs. Develop and improve the ML and GenAI models used to identify customer shopping missions, generate occasion definitions, and classify transactions. Research, prototype and test new approaches across classification, clustering, and other relevant ML/AI methodologies. Design and improve the prompts, context strategies and model-tuning approaches used to generate, describe, and refresh customer occasions. Build robust evaluation frameworks for ML and GenAI outputs, including representative test sets, quality measures, human review, regression testing, and analysis of failure modes. Improve model accuracy, coverage, stability and interpretability, with particular focus on the quality and usefulness of the occasion catalogue and transaction assignments. Design experiments to compare model and prompt alternatives, quantify improvement, and determine whether changes should move into production. Analyze customer behavior and model outputs to identify new features, signals and modelling opportunities that strengthen Personalization and other downstream use cases. Translate customer and retail problems into clear modelling objectives, success measures, and technical requirements. Work with the ML/AI Engineers to productionize models, prompts, and evaluation processes while preserving the intended model design and performance. Monitor model performance over time and recommend retraining, tuning, taxonomy changes or new modelling approaches where required. Document key modelling decisions, assumptions, limitations and results, and explain them clearly to technical and business partners.

What You Bring:

Graduate degree, preferably PhD, in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering or a related quantitative discipline. 5+ years of developing and applying ML or AI models to complex, real-world problems, including hands-on experience with GenAI and foundation LLMs. Advanced Python skills and strong experience with SQL, PySpark, and large-scale datasets. Deep understanding of supervised and unsupervised learning, including classification, clustering, feature engineering, model validation, and statistical evaluation. Hands-on experience with LLMs and prompt engineering, including prompt design, context construction, structured outputs, testing, and optimization. Experience selecting, evaluating and tuning foundation models, with a clear understanding of when to use prompt engineering, retrieval, model adaptation or fine-tuning. Experience evaluating GenAI systems using automated measures, human review, representative test sets, and structured error analysis. Experience translating ambiguous business problems into modelling approaches and explaining results, limitations and trade-offs clearly. Experience with Azure and Databricks, including MLflow and related model development toolkits. Strong technical judgement and problem-solving skills, with the ability to challenge existing methods and develop better approaches. Experience with Personalization, recommendation systems, customer intelligence, behavioral modelling, taxonomy development or transaction classification is an asset. Experience with embeddings, retrieval-augmented generation, semantic search, vector databases, or other methods for modeling unstructured data is an asset. Experience in retail, loyalty, marketing, ecommerce, or customer analytics is an asset.

Location: Toronto, Ontario (Hybrid: In-office 4 days per week)

Benefits:

• Comprehensive benefits and retirement programs
• Performance incentives
• Continuing Education Programs
• Other perks to support your well-being
• Career growth opportunities and product discounts
• Broadband

Salary Range: $64,000 - $106,000.

Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.

We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.

About Us

Canadian Tire Corporation, Limited ("CTC") is one of Canada's most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees.

Our Commitment to Diversity, Inclusion and Belonging

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

If you’re ready to take on new challenges – be it in digital, IT, marketing, data & analytics, merchandising, or one of the many other roles we have – there is a place for you here,