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Toronto Transit Commission
Associate, Data ScientistToronto Transit Commission • Toronto, Canada, United States
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Associate, Data Scientist

Associate, Data Scientist

Toronto Transit Commission • Toronto, Canada, United States
Il y a 17 heures
Salaire
104 125,00 $CA – 130 166,00 $CA par an
Type de contrat
  • Temps plein
Description de poste

Salary: $104,125 - 130,166 per year

Requirements:

  • A university degree or college diploma in Data Science, Computer Science, Applied Mathematics, Operations Research, Engineering, Transportation Planning, or a related field, or an equivalent combination of education and experience.
  • Knowledge of data science, statistics, machine learning, data visualization, and analytical problem-solving methods.
  • Experience with Python, R, SQL, or comparable analytical tools for collecting, preparing, analyzing, and visualizing data.
  • Familiarity with relational databases, data science libraries, notebooks, source control, and model validation practices.
  • Strong analytical and critical-thinking abilities, including translating business questions into data-driven solutions.
  • Ability to explain technical concepts and analytical findings to technical and non-technical audiences.
  • Strong organizational skills and the ability to manage competing priorities and meet established timelines.
  • Knowledge of data governance, privacy, cybersecurity, ethical data use, and responsible AI principles.
  • Effective interpersonal, written, and verbal communication skills, with a collaborative, customer-focused approach.
  • Applicants must prepare and submit their own original materials and responses without AI tools or external resources, and must not disclose interview questions.
  • If selected for an interview, candidates must disclose any current TTC employee relatives where a relationship may create a conflict of interest.

Responsibilities:

  • Analyze structured and unstructured data to identify trends, patterns, risks, and opportunities for improvement.
  • Conduct exploratory data analysis and develop descriptive, diagnostic, predictive, and prescriptive analytics to inform business decisions.
  • Build and support analytical models using statistical, machine-learning, forecasting, and optimization methods.
  • Create dashboards, visualizations, and reports that present complex findings clearly and usefully.
  • Work with business stakeholders, subject-matter experts, and technology teams to define requirements and develop data-driven solutions.
  • Develop reusable code, data pipelines, and proof-of-concept solutions for operational and strategic objectives.
  • Support model validation, testing, implementation, and ongoing performance monitoring.
  • Follow data governance, privacy, cybersecurity, accessibility, and responsible AI standards.
  • Research emerging analytics tools, methodologies, and industry practices to support continuous improvement.

Technologies:

  • AI
  • Business Intelligence
  • Support
  • Machine Learning
  • Python
  • SQL
  • ChatGPT
  • Copilot
  • Network

More:

We are the Toronto Transit Commission (TTC), a major transit system serving Toronto and the surrounding communities. Our 2024–2028 corporate plan focuses on connecting communities, with a vision of moving Toronto toward a more equitable, sustainable, and prosperous future and a mission to provide safe, reliable, efficient, and accessible transit. We are seeking an Associate, Data Scientist for our Information Technology Services – Enterprise Architecture department, reporting to the Manager, Business Intelligence and Analytics. This temporary, hybrid position has one vacancy, a 35-hour workweek, daytime shifts Monday through Friday, and an hourly pay range of $50.06–$62.58. In this role, you will support predictive analytics, machine learning, and visualization solutions that strengthen business performance, customer outcomes, service delivery, planning, forecasting, and operational effectiveness. We are committed to equity, diversity, anti-racism, and inclusion, and provide accommodations during recruitment upon request. Our hiring process is based on job-related qualifications, merit, and abilities; breaches of our stated rules on AI use or disclosure of interview questions may result in withdrawal of an application or exclusion from the hiring process.

last updated 42 week of 2026

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Associate, Data Scientist • Toronto, Canada, United States