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Data Scientist II; Term, Potential Extension

Job in Toronto, Ontario, M5A, Canada
Listing for: Metrolinx
Full Time, Seasonal/Temporary, Contract position
Listed on 2026-10-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 49.76 - 67.63 CAD Hourly CAD 49.76 67.63 HOUR
Job Description & How to Apply Below
Position: Data Scientist II (6-Month Term, Potential Extension)
Salary Range: $49.76-$67.63 per hour
Term Duration: This is a 6-month temporary position, with the possibility of an extension
Metrolinx is connecting communities across the Greater Golden Horseshoe. Metrolinx operates GO Transit and UP Express, as well as the PRESTO fare payment system. We are also building new and improved rapid transit, including GO Expansion, Light Rail Transit routes, and major expansions to Toronto’s subway system, to get people where they need to go, better, faster and easier. Metrolinx is an agency of the Government of Ontario.

At Metrolinx, equity, diversity and inclusion are essential to living our values of serving with passion, thinking forward and playing as a team.

Our Marketing Customer Analytics Office is looking for a Data Scientist II to join the team. This individual will be accountable for establishing the analytical methodologies and developing and implementing models for delivering and maintaining Metrolinx ridership & revenue projection under different scenarios. Model results impacts budget and subsidy plans across the company and are regularly presented to Senior Management, MTO and the Minister’s Office for evidence-based decision making.

What will I be doing?
  • Leads the analytical process to predict the impact of GO & UP service levels on ridership & revenue, customer acquisition, retention and loyalty.

  • Trains machine learning models to analyze, categorize and forecast service change impacts

  • Leads the model creation, development and execution process from beginning to end

  • Oversees work quantifying the potential ridership and revenue impact of customer-centric business opportunities, such as the introduction of new services, the impact of capital builds, and the impact of customer programs

  • Designs and implements end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes.

  • Leads analytical efforts to pinpoint opportunities that align with strategic goals, targets, and key performance indicators (KPIs); recommends data-driven solutions and establishes performance metrics to measure the impact and return on investment (ROI) of identified opportunities.

  • Leads projects, and provides mentorship to other analytics roles throughout the organization

  • Ensures best practices are disseminated to the team, and oversee the implementation of innovative and creative ways to source and integrate data or tools to continually advance Metrolinx’s modeling and analytical capability

  • Conducts data extraction from relational databases using SQL

  • Create AI/ML models to improve processes within Innovation and Information Technology and lead KPI analysis that identifies service quality and efficiency of delivery

  • Crafts raw data and analysis into well-written and persuasive content, establishing recommendations and actions that will support business objectives.

  • Leads Key Performance Indicator (KPI) analysis, presented monthly to SMT, to identify drivers of ridership and fare revenue and inform strategic decisions of service planning and design

  • Identifying business challenges and developing AI solutions that improve efficiency, automate work, and deliver measurable business outcomes.

  • What Skills and Qualifications Do I Need?
  • Completion of a Degree in Statistics, Applied Math, Engineering, Computer Science, or a related discipline – or a combination of education, training, and experience deemed equivalent

  • Demonstrated progressive experience in data mining, statistical analysis, and/or predictive analytics.

  • Advanced knowledge and working experience with SQL, Python, PySpark Power BI

  • Proficient in leveraging Microsoft Azure and Azure Databricks for data engineering, large scale data…

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