About Why Hiring
At Why Hiring, we connect exceptional talent with high-impact opportunities across Canada and beyond. Our mission is to simplify the job search process while empowering professionals to build meaningful careers aligned with their skills, ambitions, and Canada’s diverse and evolving job market. We are committed to supporting growth in an inclusive, innovation-driven environment where data and technology shape the future.
About the Role
This role requires strong quantitative skills, experience working with complex datasets, and the ability to collaborate closely with analysts, engineers, and stakeholders to deliver data-driven insights that support strategic and operational decision-making.
- Perform statistical analysis and data exploration to extract actionable insights from large datasets
- Support the development and validation of predictive models to identify trends and patterns
- Contribute to AI/ML model development and data-driven solutions
- Conduct exploratory data analysis to inform business decisions and operational planning
- Assist in building and maintaining data pipelines for collection, processing, and integration
- Collaborate with cross-functional teams to enhance data workflows and efficiency
- Develop scripts and tools to automate processes
- Support initiatives to improve data quality, structure, and accessibility
- Apply analytical and experimental approaches to evaluate outcomes
- Contribute to enhancing data systems and analytical capabilities
- Identify data gaps, inconsistencies, and optimization opportunities
- Participate in team discussions and knowledge-sharing sessions
Education
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
Required Skills
- Proficiency in Python, R, SQL, or similar languages
- Experience with data visualization tools such as Power BI or Tableau
- Strong understanding of statistical methods and modeling techniques
- Basic knowledge of AI/ML concepts and applications
- Experience with relational and/or NoSQL databases
- Familiarity with cloud and big data technologies
- Ability to communicate technical insights to non-technical stakeholders
- Understanding of analytical workflows and business requirements
- Experience working with structured and unstructured data
Experience
0–2 years of experience in data science, analytics, machine learning, or related fields.
Equal Opportunity Statement
- Why Hiring is an equal opportunity employer committed to fostering an inclusive and accessible workplace. We welcome applications from all qualified individuals, including those from diverse backgrounds, and do not discriminate on the basis of race, colour, religion, gender, sexual orientation, gender identity or expression, age, national or ethnic origin, disability, marital status, or any other characteristic protected under applicable Canadian human rights legislation. Accommodations are available upon request for candidates participating in all aspects of the selection process.