Data Scientist II

Jobtailor; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

Jobtailor in Toronto is seeking an experienced data science professional to build and maintain anomaly detection models using statistics and ML. You will design AI-driven workflows to automate business intake, leveraging Copilot Studio and Power Apps to prototype self-serve recommendations, and collaborate with AIML, data engineering, and analytics teams.

Requirements include a technical degree, 3+ years in analytics or data science, hands-on modelling with supervised/unsupervised methods

Qualifications

• 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

Responsibilities

• Build/maintain anomaly detection models
• Design and implement AI-driven workflows to automate business intake processes
• Partner with business stakeholders to translate needs into analytical solutions
• Use Python, PySpark, SQL to extract data and apply advanced analytics
• Collaborate across AIML, data engineering, analytics to deploy solutions
• Provide leadership and knowledge transfer within the team
• Share expertise through internal training, labs and runbooks

Skills

Anomaly Detection Model Development

Machine Learning Techniques

Python Programming

Copilot Studio Experience

Data Analysis and Visualization

Education

Undergraduate or advanced technical degree in math, statistics, engineering, finance, or CS

Graduate degree preferred

Tools

Copilot Studio

Azure AI Foundry

Power Apps

Power Automate

Databricks

Job description

• 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

• Strong 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