Data Scientist
- Vancouver, BC, Canada
Contract
Applications open in a new tab.
Job details
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original 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.
Responsibilities
Know someone who’s great for this, or any of our open roles? Earn up to $4,000/year for each successful referral through Affinity Earn. You can also earn up to $50,000 for helping us find new clients. Learn about our referral program at https://affinity-group.ca/earn/ or browse our jobs & follow us at https://www.linkedin.com/company/affinity-staffing/jobs/
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
Job Number: 14092
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
- 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
Know someone who’s great for this, or any of our open roles? Earn up to $4,000/year for each successful referral through Affinity Earn. You can also earn up to $50,000 for helping us find new clients. Learn about our referral program at https://affinity-group.ca/earn/ or browse our jobs & follow us at https://www.linkedin.com/company/affinity-staffing/jobs/
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
Job Number: 14092
More about this job
Responsibilities
Develop, evaluate, and deploy scalable machine learning, generative AI, and agentic AI solutions using operational, safety-related, and external data. Collaborate with data science, software engineering, and business intelligence teams to improve decision-making and oversight, communicate findings to stakeholders, and deliver measurable business outcomes.
Requirements
Requires a master's degree or higher in Computer Science, Statistics, or Data Science, along with 3–5 years of relevant quantitative and qualitative research and analytics experience. Candidates should have strong Python and R skills, experience with machine learning and AI frameworks, data pipelines, Spark, databases, cloud services, and the ability to communicate technical findings to non-technical audiences.
Skills
- Machine Learning
- Generative AI
- Agentic AI
- Python
- R
- Data Pipelines
- Big Data
- Apache Spark
- SQL
- NoSQL
- Cloud Services
- Natural Language Processing
- Large Language Models
- Computer Vision
- Retrieval-Augmented Generation
- Experimental Design
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Science & Research
- Government & Public Sector
Keywords
- Machine Learning
- Generative AI
- Agentic AI
- Python
- R
- Data Pipelines
- Data Architecture
- Data Sets
- Apache Spark
- SQL
- NoSQL
- AWS
- Azure
- Open-Source AI Frameworks
- Natural Language Processing
- Large Language Models
- Computer Vision
- Retrieval-Augmented Generation
- AI-Assisted Workflows
- Web Application Development
- Social Media APIs
- Open-Source APIs
- Experimental Design
- Supervised Learning
- Sample Selection Bias
- Business Intelligence
- Agile Project Management
- Data Quality
- Safety Analytics
- Regulatory Compliance