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TD

Data Scientist II

TD

Data Scientist enhancing and maintaining outlier detection models in the analytics team. Collaborating with stakeholders to provide data insights and automate processes using machine learning.

Posted 7/6/2026full-timeToronto • 🇨🇦 CanadaMid-LevelSenior💰 CA$81,600 - CA$115,200 per yearWebsite

Tech Stack

Tools & technologies
AzurePySparkPythonSQLTableau

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Benefits

Comp & perks
  • Health and well-being benefits
  • Savings and retirement programs
  • Paid time off
  • Career development
  • Reward and recognition programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Statistical AnalysisData Mining TechniquesSupervised LearningUnsupervised LearningDeep LearningNeural NetworksSQLPysparkTableauPowerBI
Soft Skills
Strong Communication SkillsCollaborative MindsetCuriosityEvidence-Driven Approach