Jr. Data Scientist

Job summary

Analyze datasets and develop automated workflows, dashboards, reports, and data processing solutions to support business decisions. Contribute to predictive analytics, segmentation, forecasting, and data model and pipeline improvements while collaborating with technical and business teams.

Job details

Junior Data Scientist 📍 Remote (Canada) | Full-Time About the Role We're looking for a Junior Data Scientist to join a growing analytics team focused on building data-driven solutions and improving business performance through modern technologies. This role is ideal for someone who enjoys working with data, automation, and emerging AI tools in a collaborative, fast-paced environment. You'll work alongside analysts, engineers, and business stakeholders to support reporting, forecasting, automation, and advanced analytics initiatives across different business areas. Key Responsibilities - Analyze and interpret large datasets to support business decision-making - Develop and maintain automated workflows using Python and SQL - Create dashboards, reports, and visualizations using BI and analytics tools - Support predictive analytics, segmentation, and forecasting projects - Assist in building scalable reporting and data processing solutions - Collaborate with technical and non-technical teams to translate business needs into data solutions - Contribute to the maintenance and optimization of data models and pipelines Requirements (Must-Have) - Experience working with Python for data analysis, scripting, or automation - Strong SQL knowledge and experience querying relational databases - Familiarity with business intelligence or data visualization tools (e.g. Power BI, Tableau) - Basic understanding of machine learning concepts (e.g. regression, classification) - Foundational knowledge of statistics (hypothesis testing, distributions, correlation) - Strong analytical thinking and problem-solving ability - Clear communication skills — able to explain data insights to non-technical audiences Nice-to-Have - Understanding of cloud-based analytics or modern data platforms (AWS, GCP, Azure) - Interest in AI-enabled workflows, automation, or applied data science - Prior exposure to predictive modeling or forecasting projects What We Offer - Remote and flexible working environment - Opportunity to work on modern analytics and AI-focused projects - Supportive, collaborative team culture - Professional development and learning opportunities - Exposure to cloud technologies, automation, and scalable data solutions - Career growth within an expanding team - Performance-based incentives - Wellness and work-life balance support --- About Why Hiring At Why Hiring, we connect talented individuals with remote job opportunities, simplifying the job search and helping professionals find fulfilling roles regardless of geography. Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity, or any other status protected by law.

What you’ll do

Analyze datasets and develop automated workflows, dashboards, reports, and data processing solutions to support business decisions. Contribute to predictive analytics, segmentation, forecasting, and data model and pipeline improvements while collaborating with technical and business teams.

Requirements

Requires experience using Python for data analysis or automation, strong SQL skills, familiarity with BI or visualization tools, and foundational knowledge of machine learning and statistics. Candidates should also demonstrate analytical problem-solving and clear communication with non-technical audiences.

Benefits

• Flexible Working Environment
• Professional Development
• Performance-Based Incentives
• Wellness Support
• Work-Life Balance Support

Listed skills

• Data visualization · Preferred
• Power BI · Preferred
• SQL · Preferred
• Tableau · Preferred
• Data analysis · Preferred
• Machine learning · Preferred
• Communication · Preferred
• Python · Preferred
• Forecasting · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Data Analysis
• Data Visualization
• Power BI
• Tableau
• Machine Learning
• Statistics
• Hypothesis Testing
• Predictive Analytics
• Forecasting
• Automation
• Data Modeling
• Data Pipelines
• Analytical Thinking
• Communication

Job areas

• Data & Analytics
• Technology
• Science & Research