Full Stack Data Science Engineer

Jobtailor; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a senior analytics and AI/ML lead to drive end-to-end performance diagnostics across customer, product, and advisor domains. You will translate data into actionable insights, design scalable analytics assets, and mentor teams across data scientists, engineers, and stakeholders.

The role emphasizes building predictive AI/ML models, applying NLP and deep learning techniques, and guiding data-driven business decisions in a bilingual environment.

Qualifications

• 5 years of relevant experience in advanced analytics, data science, or applied AI/ML
• Strong ability to frame and structure complex business problems in financial services / retail banking
• Demonstrated ability to connect analytical insights to commercial levers and influence senior executives and C-suite stakeholders
• Experience creatively exploring data, identifying non-obvious patterns, and rigorously testing hypotheses
• Solid knowledge of applied Machine Learning, Deep Learning, and Large Language Models
• Solid cloud experience with Azure or AWS and services including Databricks, Kubernetes, Docker, Azure Machine Learning, and Azure Data Factory
• Proficiency in Python, PySpark, SQL, Power BI, and Databricks or similar platforms
• Strong experience with PySpark for big data processing and PyTorch for deep learning model serving
• Experience with structured and unstructured data, data pipelines, and analytical assets
• Knowledge of predictive analytics, NLP, supervised and unsupervised learning, Generative AI tools and APIs, model development and deployment, experimentation and optimization
• Experience with Power BI, Tableau, Azure, Snowflake, ETL/ELT pipelines, and Apache Spark
• Bilingual proficiency in English/French is nice-to-have
• For Quebec roles, mastery of a language other than French to support employees or colleagues requiring services in another language

Responsibilities

• Lead end-to-end performance diagnostics across customer, product, and advisor dimensions
• Translate curated data into actionable insights through hypothesis development, testing, analysis, and stakeholder storytelling
• Design and deliver scalable analytics assets, including datasets, dashboards, segmentation frameworks, and predictive AI/ML models
• Investigate, evaluate, and implement AI/ML tools and algorithms for complex business problems
• Develop visualizations and data stories for technical and non-technical audiences
• Partner with business owners to drive advanced analytics and AI/ML adoption
• Lead collaboration with data scientists, engineers, IT partners, and business process owners
• Provide subject-matter expertise, mentorship, and guidance on advanced analytics and AI/ML methodologies
• Identify emerging analytical trends and data needs to improve repeatable and scalable solutions

Skills

Advanced analytics

Machine Learning

Data Visualization

Python Programming

Cloud Services (Azure/AWS)

Education

Quantitative or analytics-focused degree

Tools

Databricks

Kubernetes

Docker

Azure Machine Learning

Azure Data Factory

Power BI

Tableau

Snowflake

ETL/ELT pipelines

Apache Spark

Job description

• Lead end-to-end performance diagnostics across customer, product, and advisor dimensions
• Translate curated data into actionable insights through hypothesis development, testing, analysis, and stakeholder storytelling
• Design and deliver scalable analytics assets, including datasets, dashboards, segmentation frameworks, and predictive AI/ML models
• Investigate, evaluate, and implement AI/ML tools and algorithms for complex business problems
• Develop visualizations and data stories for technical and non-technical audiences
• Partner with business owners to drive advanced analytics and AI/ML adoption
• Lead collaboration with data scientists, engineers, IT partners, and business process owners
• Provide subject-matter expertise, mentorship, and guidance on advanced analytics and AI/ML methodologies
• Identify emerging analytical trends and data needs to improve repeatable and scalable solutions

Requirements

• Strong ability to frame and structure complex business problems in financial services / retail banking
• Demonstrated ability to connect analytical insights to commercial levers and influence senior executives and C-suite stakeholders
• Experience creatively exploring data, identifying non-obvious patterns, and rigorously testing hypotheses
• Experience working with existing ML/AI models and building or modifying models
• Solid knowledge of applied Machine Learning, Deep Learning, and Large Language Models
• Solid cloud experience with Azure or AWS and services including Databricks, Kubernetes, Docker, Azure Machine Learning, and Azure Data Factory
• Proficiency in Python, PySpark, SQL, Power BI, and Databricks or similar platforms
• Strong experience with PySpark for big data processing and PyTorch for deep learning model serving
• Experience with structured and unstructured data, data pipelines, and analytical assets
• Strong relationship management, storytelling, and business communication skills
• A graduate or undergraduate degree in a quantitative or analytics-focused discipline
• 5 years of relevant experience in advanced analytics, data science, or applied AI/ML
• Knowledge of predictive analytics, NLP, supervised and unsupervised learning, Generative AI tools and APIs, model development and deployment, experimentation and optimization
• Experience with Power BI, Tableau, Azure, Snowflake, ETL/ELT pipelines, and Apache Spark
• Bilingual proficiency in English/French is nice-to-have
• For Quebec roles, mastery of a language other than French to support employees or colleagues requiring services in another language

Core Competencies

Demonstrates expertise in advanced analytics and AI/ML methodologies, with a strong ability to translate complex data into actionable insights for financial services and retail banking. Proficient in developing scalable analytics assets and collaborating with cross-functional teams to drive data-driven decision-making.

Highest-signal resume keywords

• Advanced Analytics
• Machine Learning
• Data Visualization
• Python Programming
• Cloud Services (Azure/AWS)

Hard Skills

• Machine Learning
• Deep Learning
• Predictive Analytics