Build/maintain anomaly detection model using statistical, machine learning, and data mining techniques.
Design and implement AI-driven workflows to automate business intake processes, leveraging both low-code platforms (e.g., Copilot Studio) and code-based frameworks to enable intelligent comparison with historical requests and generate self‑serve recommendations.
Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into analytical solutions.
Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from large datasets.
Collaborate across AIML, data engineering, and analytics to deploy and monitor solutions at scale.
Provide thought leadership and/or industry knowledge for own area of expertise and participate in knowledge transfer within the team and business unit.
Share expertise and drive knowledge transfer through internal training, labs and runbooks
Requirements Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred with progressive work experience
3+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity
Hands on modelling experience with supervised, unsupervised and other AI methods, including deep learning and neural networks
Experience on Copilot Studio, Azure AI Foundry, Power Apps, Power Automate tools is a must




Demonstrated knowledge and application of analytical languages/tools/platforms such as Python / Pyspark, SQL, Tableau, PowerBI, Databricks, on large datasets with a track record of delivering business impact and results
Experience delivering ML enablement (brown bags, workshops, office hours) aligned with internal learning pathways
Ability to translate intake requests into technical plans and deliver self‑serve artifacts for business partners.
Strong communication skills; open mindset—curious, collaborative, and evidence driven ‑driven
Core Competencies Demonstrates expertise in building and maintaining anomaly detection models using statistical and machine learning techniques, while effectively translating business needs into analytical solutions. Proficient in leveraging programming languages and tools to extract insights from large datasets and drive business impact.
Highest-signal resume keywords Anomaly Detection Model Development
Machine Learning Techniques
Python Programming
Copilot Studio Experience
Data Analysis and Visualization
Hard Skills Statistical Analysis
Data Mining Techniques
Supervised Learning
Unsupervised Learning
Deep Learning
Neural Networks
SQL
Pyspark
Tableau
PowerBI
Soft Skills Solid Communication Skills
Collaborative Mindset
Curiosity
Evidence-Driven Approach
Industry Keywords Analytics
Data Science
Business Intelligence
ML Enablement
Knowledge Transfer
Tools & Technologies Copilot Studio
Azure AI Foundry
Power Apps
Power Automate
Databricks

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📌 Data Scientist II (Ontario)
🏢 Jobtailor
📍 Ontario