Associate, Data Scientist

TTC (Toronto Transit Commission); Toronto; Hybrid; CAD 69,000 - 85,000; Part time

Job summary

The Toronto Transit Commission (TTC) seeks an analytical Associate, Data Scientist to advance predictive analytics, ML, and visualization solutions that improve performance and customer outcomes. You will partner with business and IT teams to transform data into actionable insights and drive operational excellence.

You will develop models, dashboards, and data pipelines, apply governance and ethical AI practices, and contribute to continuous improvement while working in a hybrid environment.

Qualifications

• University degree or diploma in Data Science, CS, OR, Engineering, Transportation Planning, or related field.
• Knowledge of data science, statistics, ML, data visualization, and analytical problem-solving techniques.
• Experience using Python, R, SQL to collect, prepare, analyze, and visualize data.
• Familiarity with relational databases, data science libraries, notebooks, source control, and model validation practices.
• Strong analytical and communication skills; able to translate questions into data-driven solutions.

Responsibilities

• Analyze data to identify trends and opportunities for improvement.
• Perform exploratory data analysis and develop descriptive, diagnostic, predictive Analytics.
• Build and support analytical models using statistical and ML techniques.
• Create dashboards, visualizations, and reports communicating findings clearly.
• Collaborate with stakeholders to define requirements and develop data-driven solutions.
• Develop reusable code and data pipelines supporting objectives.
• Support model validation, testing, and monitoring.
• Ensure compliance with data governance, privacy, cybersecurity, and responsible AI standards.
• Research emerging analytics tools and best practices.

Skills

Data science

Statistics

Machine Learning

Data Visualization

Python

R

SQL

Relational databases

Version Control

Communication

Data governance

Education

Data Science Degree

CS Degree

Applied Mathematics

Operations Research Degree

Engineering Degree

Transportation Planning Degree

Tools

Python

R

SQL

Notebooks

Git

Job description

Career Opportunities: Associate, Data Scientist (13878)

Requisition ID13878-Posted10/15/2026-Information Technology Services (20000014)-Enterprise Architecture (30000027)-Job Opportunity

Requisition ID: 13878
Number of Vacancies: 1
Department: Information Technology Services - Enterprise Architecture
Salary Information (hourly rate): $50.06 - $62.58
Pay Scale Group: 08SA
Employment Type: Temporary - Hybrid
Vacancy: New
Weekly Hours: 35 Off Days: Saturday - Sunday Shift: Day
Posted On: October 15, 2026
Last Day to Apply: October 20, 2026
Reports to: Manager, Business Intelligence and Analytics

The Toronto Transit Commission (TTC), North America's third largest transit system and recognized as one of the top places to work in the GTA has introduced its new 2024-2028 TTC Corporate Plan - Moving Toronto, Connecting Communities which continues the TTC’s legacy of delivering service to hundreds of millions of customers a year. The TTC’s new vision and mission statements also help promote the many environmental, social equity and economic benefits that the TTC provides:

Vision: Moving Toronto towards a more equitable, sustainable, and prosperous future.

Mission: To serve the needs of transit riders by providing a safe, reliable, efficient, and accessible mass public transit service through a seamless integrated network to create access to opportunity for everyone.

Are you passionate about turning data into insights that drive better decisions? We are looking for an analytical and curious professional to join our team as an Associate, Data Scientist.

What You Will Do

As an Associate, Data Scientist you will support the development of Data Science predictive analytics, machine learning, and visualization solutions that improve business performance, customer outcomes, and operational effectiveness.

You will be working closely with business and technology partners, and help transform complex data into actionable insights while contributing to innovative solutions that support service delivery, planning, forecasting, and operational excellence. Specifically you will:

• analyze structured and unstructured data to identify trends, patterns, risks, and opportunities for improvement.
• perform exploratory data analysis and develop descriptive, diagnostic, predictive, and prescriptive analytics to support business decision-making.
• build and support analytical models using statistical, machine learning, forecasting, and optimization techniques.
• create dashboards, visualizations, and reports that communicate complex findings in a clear and actionable manner. [
• collaborate 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 that support operational and strategic objectives.
• support model validation, testing, implementation, and ongoing performance monitoring.
• ensure compliance with data governance, privacy, cybersecurity, accessibility, and responsible AI standards.
• contribute to continuous improvement by researching emerging analytics tools, methodologies, and industry best practices.

What Qualifications Do You Bring?

• A University degree or college diploma in Data Science, Computer Science, Applied Mathematics, Operations Research, Engineering, Transportation Planning, or a related discipline, or an equivalent combination of education and experience.
• Knowledge of Data Science, statistics, machine learning, data visualization, and analytical problem-solving techniques.
• Experience using Python, R, SQL, or similar analytical tools to collect, prepare, analyze, and visualize data.
• Familiarity with relational databases, Data Science libraries, notebooks, source control, and model validation practices.
• Strong analytical and critical thinking skills with the ability to translate business questions into data-driven solutions.
• Ability to communicate technical concepts and analytical findings to both technical and non-technical audiences.
• Strong organizational skills with the ability to manage competing priorities and deliver high-quality work within established timelines.
• Knowledge of data governance, privacy, cybersecurity, ethical data use, and responsible artificial intelligence principles.
• Effective interpersonal, written, and verbal communication skills, with a collaborative and customer-focused approach.

Commitment to EDI

The TTC is committed to upholding the values of equity, diversity, anti-racism and inclusion in the delivery of its services and in its workplaces. The TTC is committed to fostering a diverse workforce that is representative of the communities it serves at all levels of the organization and supports an inclusive environment where diverse employee and community perspectives and experiences bring value to the organization. The TTC encourages applications from all applicants, including members of groups with historical and/or current barriers to equity, including but not limited to, Indigenous, Black and racialized groups, people with disabilities, women and people from the LGBTQIA+ community. The TTC values and supports an inclusive and barrier-free recruitment and selection process. Accommodations for applicants are available upon request throughout the recruitment and selection process, including for those who identify as having a disability. Please contact Talent Management at [phone] or [e-mail] . Any information received related to an accommodation will be addressed confidentially.

General Prohibition in Hiring Process

The TTC is also committed to a fair hiring process based on job related qualifications, merit, and abilities. You are expected to write your own materials and provide your own qualifications and experiences during the hiring process. The TTC will not tolerate the use of artificial intelligence or external resources in any of your submissions or responses or the disclosure of interview questions to others. By submitting your application, you acknowledge and agree to the following:

• The use of any artificial intelligence (AI) tool including, but not limited to, ChatGPT and Microsoft Copilot, to generate or produce any information or materials to be submitted or any response to any assessment question or any interview question, is prohibited.
• All information and materials you submit, including resume, cover letter, and assessment responses, are your own original work without the use of any AI tool
• During any interview, your response to any interview question is your own without the use or assistance of any AI tool or any person.
• You will not disseminate or disclose to any person any interview question.

Should you breach the prohibition of AI tool use, or information dissemination or disclosure, you will be in violation of TTC’s hiring process and TTC may withdraw your application and may prohibit you from participation in the TTC hiring process.

Relatives of TTC Employees

The TTC’s policy prohibits relatives of current TTC employees from being hired, assigned, transferred or promoted into positions, where there is a conflict of interest due to a relationship. Should you be selected for an interview, you will be required to disclose the name, relationship and position of any relative who is a current TTC employee.

We thank all applicants for their interest but advise only those selected for an interview will be contacted.