Data Scientist

Giatec Scientific Inc. (Giatec) is seeking for 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 as well as with other cross-functional teams across the company to develop metrics models and data-related solutions to generate value and improve customer success.

Additionally this person must have a strong background in data analysis and be able to effectively communicate complex analytical findings to both technical and non-technical audiences. This role requires a strong background in exploratory data analytics statistics data modeling as well as 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 concretes carbon footprint.

Giatec solutions have been used on 15000 projects across 85 countries and weve been recognized as one of Canadas 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$00. This role represents an existing vacancy within the organization.

WHAT WILL YOU DO

Create and implement cloud-integrated software forGiatecsIoT 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 businessobjectives. Promote software development best practices including code review testing and thorough documentation.

Responsibilities:

• 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 TOTHISROLE

Essential Skills:

• Masters or PhD in Data Science Computer Science Statistics Mathematics or a related field. Proficiency in programming languages such as Python Proven experience leveraging machine learning frameworks such as Keras TensorFlow or similar tools. Strong understanding of prompt engineering LLM evaluation techniques and reliability considerations. Familiarity with retrieval-augmented generation (RAG) architectures and vector search technologies. Enthusiasm for learning new technologies and sharing knowledge with others.
  
• Demonstrated experience analyzing modeling training and deploying machine learning and AI solutions into production.
• Proficiency with data science libraries such as pandas NumPy and Matplotlib.
• Experience building agent-based or agentic AI systems using frameworks such as LangChain LlamaIndex Semantic Kernel or equivalent.
• Hands-on experience working with Large Language Models (LLMs) (e.g. OpenAI Azure OpenAI Hugging Face or similar platforms).
• Hands-on experience with databases such as PostgreSQL and MongoDB including efficient data querying and manipulation.
• Strong experience applying supervised and unsupervised machine learning techniques to build predictive and prescriptive solutions.

PERKS AND BENEFITS:

• Hybrid work week
• Competitive company-paid benefits plan
• Generous professional development budget
• Volunteer and Life Days that make work/life balance easier to achieve
• Your birthday off (because we want you to celebrate)
• RRSP matching program through RBC

TO APPLY:

Even if you dont 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 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 All accommodation-related information will be kept confidential.

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

Required Experience:

Manager