Senior Data Scientist

Trackunit•Kitchener, ON

13d•Hybrid

About The Position

Trackunit is a fast-growing company and a leading supplier of IoT solutions, operating out of many offices worldwide. Trackunit specializes in digital solutions that connect machines, people, and systems in the global construction industry. The construction industry is the least digitalized industry of all. This lack of digitalization has left construction far behind a global economy on the rise and placed the industry as one of the least productive industries too. We're looking for a skilled Data Scientist to join our cross-functional team of data scientists, backend engineers, and frontend engineers. In this role, you'll work closely with your team on the data pipeline powering our Emissions application and more — from modeling data and generating new insights to integrating and expanding our platform. Collaborating across engineering, product, and sales, you'll be at the center of one of our most impactful areas: driving value for customers and scaling our data pipelines for the future. With locations in the heart of London, ON, we offer you a flexible setup with the possibility to work from one of our locations or remotely from anywhere in Ontario. No relocation assistance is offered for this position. The Senior Data Scientist position is currently open at Trackunit. The base salary hiring range for this role is $100,000–$115,000 per year, depending on experience and qualifications. Once in the role, successful candidates will have the opportunity to progress through the full salary range based on performance and development over time. This range reflects base salary only and does not include additional elements of our total rewards offering, such as our remote work policy, health benefits, retirement savings, and other rewards.

Requirements

Hold a degree in Engineering, Computer Science, or a similar technical field.
You bring a strong background in data engineering, data warehousing, or data science/AI/ML.
You have hands-on experience with the Databricks platform and are familiar with its key features and ecosystem.
You are proficient in Python, SQL and Spark, and can apply them effectively in real-world data scenarios.
Is motivated to leverage AI to improve efficiency and productivity.
Maintains a strong interest in exploring new technologies, programming languages, and frameworks.
Demonstrates experience using Git/GitHub for source code management and CI/CD in cloud environments.
Demonstrate the ability to clearly articulate complex problems and their solutions.
Brings excellent communication skills along with a passion for mentoring and knowledge sharing

Responsibilities

Design, build, and maintain scalable data pipelines and data models that power device health insights across the Trackunit platform.
Collaborate closely with the team’s Data Scientists to operationalize analytics models, experiments, and algorithms into robust, production-grade data solutions.
Improve and scale our data pipeline and architecture as the business grows — and explore new approaches to meet evolving customer needs.
Collaborate closely with Product Managers, Engineering Managers, and fellow Engineers who are eager to solve challenges together.
Participate in technical design and architecture discussions that shape the future of our platform.
Contribute to a strong engineering culture by conducting code reviews and providing constructive feedback.
Mentor other data engineers, helping them navigate technical challenges and apply best practices.
Regularly showcase your work and gather input through demos and knowledge-sharing sessions.
Stay up to date with backend trends, tools, and technologies — and proactively suggest improvements to our stack and processes.