I&IT Data Scientist I at Metrolinx – Canada | Jobyssey

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.

Metrolinx's Innovation and Information Technology group supports female team members via "Go Tech Women" an affinity group for women in Information Technology, led by our Chief Information Officer.

If you enjoy technology and innovation, value diversity, appreciate work/balance and are looking for an opportunity to make a better world via public service, Metrolinx would like to hear from you!

The Enterprise AI & Data Centre of Excellence (CoE) within I&IT delivers trusted data, analytics, and AI solutions that help Metrolinx make better decisions and improve business outcomes. As a Data Scientist, you will partner with business stakeholders and technical teams to analyze data, develop machine learning models, build data pipelines, and generate insights that support strategic and operational decision-making. This role offers the opportunity to work with modern data and AI technologies while contributing to enterprise-wide innovation and continuous improvement.

What will I be doing?

Design, develop, and maintain scalable data pipelines and analytical solutions using Microsoft Azure, Databricks Lakehouse, Azure AI Foundry, Unity Catalog, Delta Lake, and Azure Data Lake Storage to support enterprise analytics, artificial intelligence, and machine learning initiatives.
Build, curate, and manage trusted datasets through data ingestion, transformation, integration, and quality validation processes using SQL, Python, PySpark, and Databricks.
Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and opportunities that support business and operational decision-making.
Develop, validate, deploy, and monitor machine learning and AI models using regression, classification, clustering, forecasting, and generative AI techniques to solve business challenges.
Leverage Azure AI Foundry and Azure AI services to develop, evaluate, and operationalize AI applications, including generative AI, intelligent agents, and retrieval-augmented solutions.
Collaborate with business stakeholders to understand requirements, define success metrics, and translate business problems into scalable data science, analytics, and AI solutions.
Partner with Data Engineers, AI Engineers, and Solution Architects to operationalize machine learning and AI solutions through MLOps and LLMOps best practices, including model deployment, monitoring, retraining, and lifecycle management.
Extract, integrate, and analyze large-scale enterprise data from Azure cloud platforms, Databricks environments, and operational systems using distributed computing frameworks.
Develop reusable notebooks, feature engineering pipelines, semantic models, and AI assets that improve the scalability and consistency of enterprise analytics and AI capabilities.
Apply advanced statistical techniques, machine learning algorithms, and experimentation methodologies to evaluate business opportunities, measure outcomes, and quantify business value.
Support the implementation and continuous improvement of enterprise AI, machine learning, and analytics platforms, standards, and best practices.
Ensure compliance with enterprise data governance, privacy, security, responsible AI, and model risk management requirements.
Contribute to the advancement of the Enterprise AI & Data CoE by evaluating emerging technologies and identifying opportunities to enhance analytical, machine learning, and AI capabilities across the organization.
Communicate analytical findings, model performance, and AI solution outcomes effectively to both technical and non-technical stakeholders.
Collaborate in an Agile delivery environment to support enterprise-wide data, analytics, automation, and AI initiatives.

What Skills and Qualifications Do I Need?

Education: 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

Experience:

Demonstrated experience in Data Science, Advanced Analytics, Machine Learning, Predictive Modeling, or related disciplines.
Proficiency in Python, SQL, PySpark/Spark, and large-scale data processing.
Hands-on experience with Microsoft Azure, Azure Machine Learning, Databricks Lakehouse, Microsoft Fabric, Azure Data Lake Storage, and Azure AI services.
Experience developing and deploying machine learning, forecasting, predictive, and prescriptive analytics models.
Strong knowledge of statistical analysis, including hypothesis testing, experimentation, and A/B testing.
Experience with data engineering, ETL/ELT pipelines, feature engineering, and data quality management.
Demonstrated applied machine learning experience, including time-series forecasting.
Experience with customer segmentation, profiling, clustering, association analysis, and basket analysis.
Knowledge of MLOps, LLMOps, Generative AI, RAG, and AI Agent frameworks is an asset.
Experience working with complex enterprise datasets and distributed computing environments.

Don’t Meet Every Requirement?

If you’re excited about working with Metrolinx but your past experience doesn’t quite align with every qualification of this posting, we encourage you to apply. You just might be the right candidate for this or other roles. We are always looking for great talent to join our team.

We invite all interested individuals to apply and encourage applications from members of equity-deserving communities, including those who identify as Indigenous, Black, racialized, women, people with disabilities, and people with diverse gender identities, expressions and sexual orientations.

Accommodation:
Metrolinx is an equal opportunity employer and committed to a diverse and inclusive workforce. We are also committed to offering reasonable accommodation to job applicants in accordance with applicable legislation. If you require assistance or an accommodation at any point during the hiring process, please contact us at: 416-202-5601 or email [email protected].

Application Process:

All applicants must be legally entitled to work in Canada. Metrolinx will be using email to communicate with you for all job competitions. It is your responsibility to include an updated email address that is checked daily and accepts emails from unknown users. As we send time-sensitive correspondence, we recommend that you check your email regularly. If no response is received, we will assume you are no longer interested in pursuing the opportunity. Please be advised that a Criminal Record Check may be required of the successful candidate.

For Internal applicants, with the recent implementation of the Internal Mobility Policy, the internal recruitment process has changed for non-union roles. Candidates must be in their current role for 12 months prior to applying for another role and each applicant must be in good standing (not participating in a Performance Improvement Plan). Please review all provisions of the policy before submitting your application.

Should it be determined that any background information provided is misleading, inaccurate or incorrect, Metrolinx reserves the right to discontinue with the consideration of your application.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

WE ARE AN EQUITABLE AND INCLUSIVE EMPLOYER.

#LI-MM3

I&IT Data Scientist I

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