25-10 Data Scientist (6-Month Full-Time)

Vancouver, British Columbia, Canada

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The Opportunity  

As a part of the Research and Analytics team, the position will exercise leadership through data science to effect positive change to the organization and stakeholders alike. Responsible for analyzing safety data and developing and implementing machine learning (ML) algorithms to guide the inspection process, certificate and education process as well as audit and compliance and enforcement activities. In addition, apply Natural Language Processing (NLP), Large Language Models (LLMs), and Knowledge Graph (KG) to develop and implement innovative solutions to facilitate business transformation. The long-term vision is to leverage artificial intelligence technologies to gain a strong understanding of clients regarding their safety and business profile, use that information to make smarter safety oversight and business decisions, and help improve safety of all stakeholders in BC.

Status: Casual, Full-Time, Union (6-Month Term) 
Number of Positions: 1 
Pay Grade: 18 ($58.32 per hour, 40 hours per week) 
Location: Vancouver, BC 
Reports to: Leader, Research & Data Science

As a Data Scientist you will:  

  • Design, build, test, and implement KG, ML and NLP models, and ship deployment-ready versions into production through team collaboration  
  • Responsible for developing innovative solutions and proofs of concept (POCs) utilizing KG, ML, NLP and LLMs 
  • Apply leadership and promote value of data science to help make sound safety decisions 
  • Demonstrate a strong understanding of quantitative finance theory and analytical triggers, effectively communicating analytical use cases internally and externally 
  • Able to communicate and collaborate effectively with BI team to support various BI development projects 
  • Work with multiple, complex data sources such as social media APIs and other open-source APIs 
  • Build KG, ML and NLP algorithms that are scalable 
  • Identify new data sources/patterns that add significant lift to machine learning models 
  • Able to conduct independent research

Knowledge, Skills & Experience you have: 

Education and Experience 

  • Strong background in applying KG, NLP/LLM, and ML techniques 
  • Strong ability in python and prompt engineering 
  • Experience building and optimizing data pipelines, architectures and data sets  
  • Strong ability to prototype deployment tools such as web app development 
  • Experience with relational SQL and NoSQL databases 
  • Experience with agile project management 
  • Experience with AWS cloud services  
  • Fluency in open-source technology such as Tensorflow, Hugging Face, and Pytorch 
  • 3-5 years of relevant quantitative and qualitative research and analytics experience  
  • Master’s Degree or above in Computer Science, Statistics, Data Science or in a field related to data analysis and quantitative reasoning 

Knowledge and Skills 

  • Business savvy to be able to translate technical work to business values 
  • Highly motivated to tackle multiple projects in parallel 
  • Aptitude to independently learn new technologies 
  • Excellent written and oral communication skills and ability to share findings with a large, non-technical audience 
  • Ability to engage in collaborative dialogue with a wide range of internal and external customers/stakeholder 
  • Solid understanding of experimental design, combined with creativity and curiosity to explore innovative solutions   
  • Solid understanding of IT systems, databases, and data management including data quality 
  • Excellent planning and organizational skills to develop plans for designated projects and assignments 
  • Solid analytical, problem-solving and decision-making skills to identify and take action to assess needs, address challenges, and manage change 
  • Basic leadership skills to provide day-to-day technical guidance

Beyond the role:  

  • Learning & Development – We value giving and receiving feedback, as well as encouraging different ways for us to continuously learn as a company. This can be through lessons learned, wrap up sessions, one-on-one meetings, and team or individual courses, workshops, and conferences.  
  • Compensation & Benefits – In full transparency, you can find our industry-competitive compensation information on our postings.  
  • Community & Wellness – We recognize and respect each other’s diverse needs. We strive to maintain a healthy culture of psychological safety, belonging, and space to prioritize healthy minds and well-being. This includes Wellness Wednesday (meeting free time), flexible paid holidays, a free subscription to the Calm app, and a flexible hybrid work environment focused on connections. Our teams also enjoy giving back to the community, and having fun, whether volunteering in the community, or running together on our Sun Run team. In 2024, Technical Safety BC supported BC Cancer Foundation, Aboriginal Coalition to End Homelessness, Crisis Centre BC, Quest Non-Profit Grocery Markets, A Loving Spoonful, and Greater Vancouver Foodbank.  
  • Employee Resource Groups – We have Employee Resource Groups (ERGs) for Mental Health & Wellness, Indigenous Relations & Reconciliation, and Equity Diversity and Inclusion (EDI) to support initiatives we’re passionate about. 

About Technical Safety BC 

At Technical Safety BC, we matter to each other. Together, we apply a systems mindset to safety, embrace possibility, and act on what we learn. Our culture empowers and enables innovation and connection. Our environment welcomes diverse perspectives and learning is celebrated. We make decisions based on data and use our expertise to make the safety system equitable for all. 

Our values guide our work. 

  • We see genius in diversity  
  • We foster confidence  
  • We make the complex simple  
  • We adapt

Technical Safety BC is an independent, self-funded organization that oversees the safe installation and operation of technical systems and equipment across the province. In addition to issuing permits, licences and certificates, we work with industry to reduce safety risks through assessment, education and outreach, enforcement, and research. Through simplification of our initiatives, we promote understanding and engagement, making safety accessible to everyone. As society changes, we create and adopt new ideas, skills, and tools that will enable us to meet the safety challenges of a highly-connected world.

We see genius in diversity and are committed to creating an equitable and inclusive workforce. We recognize that diverse life paths and experiences contribute to the overall qualifications for each role. If you feel that you could excel in this position, but do not necessarily meet the formal requirements, we encourage you to apply.

If you are interested in one of our career opportunities and require accommodation or assistance with the application or recruitment process, please contact us directly at careers@technicalsafetybc.ca.

Please apply online by 9:00 AM PT February 27, 2025. To see a full list of our current opportunities or to learn more about working at Technical Safety BC, please visit our careers page.

We thank everyone who has applied to this opportunity. Applicants can check the status of their online applications by logging into their profile. Only those shortlisted for an interview will be contacted directly.

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Category: Data Science Jobs

Tags: Agile APIs Architecture AWS Computer Science Data analysis Data management Data pipelines Data quality Engineering Excel Finance LLMs Machine Learning ML models NLP NoSQL Open Source Pipelines Prompt engineering Python PyTorch Research SQL Statistics TensorFlow

Perks/benefits: Career development Competitive pay Conferences Equity / stock options Flex hours Health care Team events Transparency Wellness

Region: North America
Country: Canada

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