Shape how data drives decisions in government.
Join a collaborative, high‑impact data team that transforms complex data into actionable insights used across programs and services. As a Senior Data Science Developer, you’ll design and build advanced analytics solutions that help decision‑makers better understand problems, improve services, and deliver results for people in Ontario.
A message from your hiring manager As the Manager of Data Analytics and Insights, I lead a talented and collaborative team dedicated to delivering high‑quality data solutions that support informed decision‑making across the organization. Our team is made up of skilled data engineers and data analysts who work closely together to ingest, transform, and position data so that it is accessible, reliable, and actionable for our program areas. We play a critical role in turning raw data into meaningful insights—ensuring stakeholders have the right information, at the right time, to drive strategic outcomes. Our focus is not just on delivering data, but on delivering value. My leadership approach is grounded in collaboration, trust, and continuous improvement. I believe strong teams are built through mutual support and open knowledge sharing, which is why we’ve introduced a buddy system within the team. This helps foster collaboration, encourages the exchange of best practices, and supports consistently high‑quality work. I strive to create an setting where people feel empowered to contribute, grow, and innovate—while also ensuring accountability and alignment with our broader goals. By supporting both technical excellence and teamwork,



my goal is to build a high‑performing and resilient team that delivers impactful data solutions.
About the job In this role, you will:
Build data science and analytics solutions
Design, develop, test and improve data science, machine learning, and AI solutions
Create predictive, diagnostic, and prescriptive models
Translate business problems into technical solutions that deliver measurable value
Work across the full data lifecycle
Develop and maintain data pipelines and data platforms
Prepare and transform large, complex datasets (structured and unstructured)
Ensure data is accurate, usable, and ready for analysis
Deliver insights that people can use
Develop dashboards, reports, and visualizations
Communicate findings in a clear, accessible way
Support stakeholders in understanding and using data independently
Lead and collaborate
Guide projects through discovery, design, and delivery phases
Partner with clients to understand needs and recommend solutions
Provide mentorship and technical leadership within the team
What you bring to the team Data Engineering & Data Management
Experience working with large, complex datasets (structured and unstructured)
Ability to build and maintain data pipelines and prepare data for analysis
Understanding of data quality, validation, and data structures (e.G., data lakes or warehouses)




Technical Development & Data Platforms
Experience developing and maintaining data and analytics solutions using languages such as Python, SQL, R, or Scala
Experience working with cloud‑based data platforms (e.G., Azure, Databricks, Spark)
Understanding of software development practices, including version control (e.G., Git) and working in shared code environments
Data Science & Advanced Analytics
Experience developing machine learning models and statistical analyses to generate insights
Ability to apply predictive and advanced analytics to solve business problems
Familiarity with a range of data science techniques to explore and interpret data
Problem Solving, Design & Advisory Skills
Ability to analyze complex problems and design effective, data‑driven solutions
Experience working with partners to understand needs and recommend approaches
Ability to communicate technical concepts in a clear, accessible way
Collaboration, Leadership & Best Practices
Experience working in a collaborative team environment, including sharing knowledge or mentoring others
Ability to contribute to high‑quality, reliable project outcomes
Understanding of data governance, privacy, and security principles
How we support diversity, inclusion and accessibility We are building an inclusive workforce that reflects the communities we serve. We encourage everyone interested in working with us to apply, including people with disabilities, Indigenous, Black and racialized individuals, as well as people from all ethnicities, cultures, sexual orientations, gender identi

📌 Senior Data Science Developer (St. Catharines)
🏢 Fonction publique de l'Ontario
📍 St. Catharines