Data Scientist – Intelligent Operations - Toronto - Astra North Infoteck Inc.

    Astra North Infoteck Inc.
    Astra North Infoteck Inc. Toronto

    1 day ago

    Description
    Location:
    Toronto

    Work Model: 4 Days Work From Office (WFO)
    ________________________________________
    Role Overview

    The Data Scientist – Intelligent Operations (Infrastructure) is responsible for analyzing infrastructure and IT operations data to identify patterns, root causes, and optimization opportunities.

    This role is primarily analytical and experimental, supporting decision-making, strategic planning, and the design of AI-driven operational models.

    While the Data Scientist does not directly manage production AI systems, they play a critical role in defining system requirements and validating analytical approaches for Intelligent Operations initiatives.

    ________________________________________
    Core Responsibilities

    • Operations Data Exploration & Analysis

    Conduct in-depth analysis of operational data sources, including:
    o Infrastructure metrics
    o System logs
    o Events
    o Incident, problem, and change records


    • Identify recurring failure patterns, leading indicators, and operational inefficiencies.
    • Provide insights to improve infrastructure performance, reliability, and stability.
    ________________________________________

    • Statistical & Machine Learning Modelling

    Develop analytical models for:
    o Incident trend analysis
    o Root cause pattern identification
    o Capacity and demand forecasting

    Collaborate with AI Engineers on:
    o Feature engineering
    o Model validation
    o Ensuring reliability and accuracy of operational analytics
    ________________________________________

    • Experimentation & Validation
    • Design and evaluate experiments (e.g., A/B testing) to measure the impact of operational changes.
    • Assess model accuracy, precision, recall, and false positive rates.
    • Validate assumptions behind Intelligent Operations initiatives.
    • Promote data-driven decision-making through rigorous experimentation.
    ________________________________________

    • Insight Generation & Executive Storytelling
    • Translate complex operational datasets into clear, actionable insights.
    • Develop executive-ready summaries and dashboards.
    • Provide risk and stability indicators to leadership.
    • Recommend automation and AI investments based on analytical findings.
    ________________________________________
    Required Skills & Qualifications


    Strong foundation in:
    o Statistics
    o Probability
    o Machine Learning principles


    Proficiency in:
    o Python
    o SQL


    Experience working with:
    o Time series data
    o Logs
    o Infrastructure and operational datasets


    • Strong communication skills with the ability to present findings to infrastructure teams and senior leadership stakeholders.
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