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Metrolinx

Runs regional transit and fare system

Data Scientist 2

Data ScienceConfirmed live in the last 24 hours
Full-timeCanada$49.76 - $67.63 /hrIn-person

About the Job

Requirements

  • Completion of a degree in Statistics, Applied Mathematics, Engineering, Computer Science, or a related discipline, or a combination of education, training, and experience deemed equivalent.
  • Progressive experience in data mining, statistical analysis, and/or predictive analytics.
  • Advanced knowledge and working experience with SQL, Python, PySpark, and Power BI.
  • Proficiency in Microsoft Azure and Azure Databricks for data engineering, large-scale data processing, advanced analytics, and visualization.
  • Expertise in prompt engineering and use of generative AI tools and AI-powered assistants to accelerate data analysis, automate reporting, streamline business workflows, and improve operational efficiency.
  • Knowledge of statistical analysis, including hypothesis testing and A/B test analysis.
  • Knowledge of predictive and prescriptive modeling, including forecasting and advising on possible outcomes.
  • Applied machine learning modeling experience.
  • Proficiency in Microsoft Office, including Outlook, Word, Excel, and PowerPoint.
  • Strong problem-solving and critical-thinking skills.

Responsibilities

  • Lead the analytical process to predict the impact of GO and UP service levels on ridership and revenue, customer acquisition, retention, and loyalty.
  • Train machine learning models to analyze, categorize, and forecast service-change impacts.
  • Lead model creation, development, and execution from beginning to end.
  • Oversee work quantifying potential ridership and revenue impacts of customer-centric business opportunities, including new services, capital builds, and customer programs.
  • Design and implement end-to-end data pipelines; work with stakeholders to build instrumentation and define dimensional models, tables, or schemas that support business processes.
  • Lead analytical efforts to identify opportunities aligned with strategic goals, targets, and key performance indicators; recommend data-driven solutions and establish performance metrics to measure impact and return on investment.
  • Lead projects and provide mentorship to other analytics roles throughout the organization.
  • Disseminate best practices to the team and oversee implementation of innovative ways to source and integrate data or tools to advance modeling and analytical capabilities.
  • Extract data from relational databases using SQL.
  • Create AI and machine learning models to improve processes within Innovation and Information Technology, and lead key performance indicator analysis to identify service quality and delivery efficiency.
  • Turn raw data and analysis into persuasive content with recommendations and actions supporting business objectives.
  • Lead monthly key performance indicator analysis presented to senior management to identify drivers of ridership and fare revenue and inform strategic decisions on service planning and design.
  • Identify business challenges and develop AI solutions that improve efficiency, automate work, and deliver measurable business outcomes.

Desired Qualifications

  • The candidate should have a passion for continuous learning and identify best practices to help increase ridership and revenue.

About the Company

Metrolinx

Runs regional transit and fare system

Metrolinx is a government agency in Ontario that plans, finances, and coordinates transportation across the region. It runs GO Transit, UP Express, and the PRESTO fare system, and steers major investments to improve how people travel. How it works: it manages regional transit services and the fare network, partners with municipalities and other agencies, and directs infrastructure projects to create a connected travel system. How it differs from competitors: it is a public sector, multi‑modal regional operator and planner focused on coordinating services and fares across communities, rather than a single private operator. Its goal is to connect communities and make travel faster, easier, and more convenient through large investments and integrated networks.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Toronto, Canada
Founded
2007

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