Junior Data Scientist
Why Hiring · Canada
- Hybrid
- Full-time
- CA$75,000 / year
- Canada
Job highlights
- Analyze data and build predictive models.
- Develop AI/ML solutions and data pipelines.
- Collaborate with cross-functional teams.
- Communicate technical insights effectively.
- Gain experience in data science and analytics.
About the role
Junior Data Scientist
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.
Key skills/competency
- Data Science
- Python
- R
- SQL
- Statistical Analysis
- Machine Learning
- Data Visualization
- Predictive Modeling
- Data Pipelines
- Problem Solving
Skills & topics
- Junior Data Scientist
- Data Science
- Python
- R
- SQL
- Statistical Analysis
- Machine Learning
- Data Visualization
- Predictive Modeling
- Data Pipelines
- Analytics
- AI
- Big Data
- Cloud Technologies
- Quantitative Analysis
- Canada Jobs
How to get hired
- Tailor your resume: Highlight Python, R, SQL, and data visualization skills.
- Showcase projects: Detail any data science or ML projects, including outcomes.
- Prepare for technical questions: Brush up on statistics, modeling, and AI/ML concepts.
- Demonstrate communication skills: Practice explaining complex data to non-technical audiences.
- Research Why Hiring: Understand their mission and values to align your application.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the primary responsibilities for a Junior Data Scientist at Why Hiring?
- The Junior Data Scientist at Why Hiring will perform statistical analysis, develop predictive models, contribute to AI/ML solutions, build data pipelines, and collaborate with cross-functional teams to deliver data-driven insights.
- What educational background is required for this Junior Data Scientist role?
- A Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field is required for this Junior Data Scientist position at Why Hiring.
- What programming languages are essential for the Junior Data Scientist at Why Hiring?
- Proficiency in Python, R, or SQL, along with experience in data visualization tools like Power BI or Tableau, are essential for the Junior Data Scientist role at Why Hiring.
- Does Why Hiring offer opportunities for learning and development in AI/ML for this role?
- Yes, the Junior Data Scientist role involves contributing to AI/ML model development, indicating opportunities to gain and apply knowledge in this area at Why Hiring.
- How important is communication for a Junior Data Scientist at Why Hiring?
- Communicating technical insights to non-technical stakeholders is a key requirement, emphasizing the importance of strong communication skills for this Junior Data Scientist role at Why Hiring.
- What kind of experience does Why Hiring look for in a Junior Data Scientist candidate?
- Why Hiring seeks candidates with 0-2 years of experience in data science, analytics, machine learning, or related fields for their Junior Data Scientist position.
- Is this a remote or on-site position for the Junior Data Scientist at Why Hiring?
- The job description mentions opportunities across Canada, but does not explicitly state remote or on-site. It's best to clarify this during the application process for the Junior Data Scientist role at Why Hiring.