Data Scientist

Overview

Giatec Scientific Inc. (Giatec) is seeking a highly skilled, experienced, and passionate Data Scientist to join our growing Data Science team. As the Data Scientist, you will work closely with various domains within research & development (R&D), product development, and cross-functional teams across the company to develop metrics, models, and data-related solutions to generate value and improve customer success. This role requires a strong background in exploratory data analytics, statistics, data modeling, and excellent communication and leadership skills. This is a hybrid position in Ottawa, Ontario.

ABOUT GIATEC :

Giatec Scientific Inc. is a global leader in smart concrete testing technologies, bringing real-time data, AI, and IoT solutions to jobsites worldwide. Our core products - SmartRock®, SmartMix®, and MixPilot® - support the full concrete lifecycle, from mix design and production to placement and performance monitoring, helping teams improve quality, efficiency, and sustainability while reducing concrete’s carbon footprint. Giatec solutions have been used on 15,000+ projects across 85+ countries, and we’ve been recognized as one of Canada’s fastest-growing companies for three consecutive years. We believe our people are key to our success and are always looking for curious, driven individuals to help shape the future of construction technology.

The expected salary range for this role is between $110,000-150,000. This role represents an existing vacancy within the organization.

What will you do?

Create and implement cloud-integrated software for Giatec’s IoT edge products. You will architect and build data pipelines that link distributed systems with enterprise platforms. As a key team player, you will drive the software development lifecycle, collaborating with cross-functional teams to define requirements, design solutions, and deliver reliable software aligned with business objectives. Promote software development best practices, including code review, testing, and thorough documentation.

• Develop and implement advanced machine learning models and algorithms for prediction, analysis, and optimization of concrete performance. Optimize models for improved accuracy, robustness, and performance. Build and maintain agentic AI systems capable of multi-step reasoning, tool usage, and workflow orchestration. Utilize strong knowledge of machine learning frameworks such as Keras, TensorFlow, or similar tools to develop and fine-tune models. Stay up to date with the latest advancements in data science, machine learning, large language models, and agentic AI.
• Apply expertise in Python and SQL to manipulate, analyze, and transform large datasets.
• Develop retrieval-augmented generation (RAG) pipelines by integrating structured and unstructured data sources with LLMs.
• Develop, and deploy LLM-based solutions to support intelligent reasoning, automation, and decision-making within products and internal tools.
• Solve complex problems using data-driven and AI-powered approaches.

What do you bring to this role?

Essential Skills :

Perks and Benefits

To apply

Even if you don’t meet every requirement, we encourage you to apply - we value diverse experiences and would love to learn more about you. Please submit your resume and cover letter outlining your interest in the role. Applications are reviewed by our Talent Acquisition team; due to application volume, response times may vary. We appreciate your interest to be part of Giatec and understanding on this matter.

At Giatec, we believe that a diverse and inclusive workforce is critical to our success. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA), Giatec is committed to providing a barrier-free recruitment process. Accommodations and support are available upon request throughout the hiring process. If you require accommodation, please contact careers@giatecscientific.com. All accommodation-related information will be kept confidential.

AI-enabled tools may be used to support parts of the recruitment and screening process.

#J-18808-Ljbffr