Data Scientist

Affinity; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Job summary

Affinity is seeking a Data Scientist to develop machine learning, generative AI, and agentic AI solutions using operational and safety-related data to support regulatory, compliance, audit, inspection, certification, and educational functions.

The role involves collaboration with software engineering and data science teams to deliver scalable AI-driven solutions that enhance decision-making and oversight capabilities.

Qualifications

• Strong background in applying machine learning techniques and generative/agentic AI solutions.
• 3-5 years of relevant quantitative and qualitative research and analytics work.
• Master’s Degree or above in Computer Science, Statistics or Data Science.
• Excellent written and oral communication skills and ability to share findings with a large, non-technical audience.
• Business savvy to translate technical work to business values.

Responsibilities

• Development of machine learning and generative/agentic AI products through team collaboration.
• Apply leadership and promote value of data science to help make sound safety decisions.
• Communicate analytical use cases to stakeholders with varying levels of technical knowledge.
• Collaborate with Business Intelligence analysts to support BI development projects.
• Build scalable machine learning and AI solutions, including retrieval-augmented generation and AI-assisted workflows.
• Design, build, evaluate, implement & test ML models and ship production-ready versions.
• Identify new data sources/patterns that add lift to models.
• Conduct independent research.

Skills

Machine learning

Generative AI

Python

R

Data pipelines

Web app deployment

Spark

Language models (NLP)

Computer vision

Education

Master’s degree or higher in Computer Science, Statistics or Data Science

Tools

AWS

Azure

SQL

NoSQL

Spark

Job description

Job Description

On behalf of our public-sector client, Affinity is seeking a Data Scientist. The successful candidate will develop machine learning, generative AI, and agentic AI solutions using operational and safety-related data to support regulatory, compliance, audit, inspection, certification, and educational functions. They will design and deploy scalable AI-driven solutions that enhance decision-making, improve oversight capabilities, and deliver measurable business outcomes. The role requires close collaboration with software engineering and data science teams to ensure analytical and AI solutions are aligned with organizational objectives and provide tangible value to stakeholders.

Job Description

On behalf of our public-sector client, Affinity is seeking a Data Scientist. The successful candidate will develop machine learning, generative AI, and agentic AI solutions using operational and safety-related data to support regulatory, compliance, audit, inspection, certification, and educational functions. They will design and deploy scalable AI-driven solutions that enhance decision-making, improve oversight capabilities, and deliver measurable business outcomes. The role requires close collaboration with software engineering and data science teams to ensure analytical and AI solutions are aligned with organizational objectives and provide tangible value to stakeholders.

Responsibilities

• Responsible for development of machine learning and generative/agentic AI products through team collaboration that are multi-faceted and cross-functional


• Apply leadership and promote value of data science to help make sound safety decisions


• Demonstrate deep understanding of quantitative theories around client safety behaviors and triggers in use of analytics and be able to communicate effectively the analytical use cases to a wide range of internal and external stakeholders with varying levels of technical knowledge.


• Able to communicate and collaborate effectively with Business Intelligence analysts to support various BI development projects


• Work with multiple, complex data sources such as social media APIs and other open source APIs


• Build scalable machine learning and AI solutions, including retrieval-augmented generation and AI-assisted workflows where appropriate.


• Design, build, evaluate, implement & test machine learning models and generative/agentic AI solutions, and ship deployment-ready versions into production


• Identify new data sources/patterns that add significant lift to machine learning models


• Develop innovative solutions to hard machine learning problems such as sample selection bias, and supervised learning


• Able to conduct independent research

Qualifications

• Strong background in applying machine learning techniques and generative/agentic AI solutions


• Strong ability in python and R


• Experience building and optimizing data pipelines, architectures and data sets


• Strong ability to prototype deployment tools such as web app development


• Fluency in big data platforms such as Spark


• Experience with relational SQL and NoSQL databases


• Experience with agile project management


• Experience with cloud services such as AWS, Azure, or equivalent


• Fluency in open source machine learning and generative/agentic AI frameworks


• Experience with natural language processing, large language models, and/or computer vision


• 3-5 years of relevant quantitative and qualitative research and analytics work


• Master’s Degree or above in Computer Science, Statistics or Data Science


• Business savvy to be able to translate technical work to business values


• 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


• Highly motivated to tackle multiple projects in parallel


• Aptitude to independently learn new technologies


• 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


• Business Acumen


• Analytical Thinking & Problem Solving


• Communication & Knowledge Translation


• Technical Leadership


• Innovation & Continuous Learning

About Affinity

Affinity Group is a technology and business consulting and services company. We believe in creating long term relationships between clients and consultants that foster a mutually beneficial partnership. Affinity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit and business need. For more information on Affinity, please visit www.affinity-group.ca