Junior Data Scientist

# Junior Data Scientist Why Hiring Be an Early Applicant Full Time junior Abbotsford, British Columbia, CAPosted Today## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

Python

RSQLSign up free to auto-tailor your resume with all these keywords and get a higher ATS score##

Job Description About Why Hiring At Why Hiring, we connect talented professionals with meaningful career opportunities across Canada and internationally. Our mission is to simplify the job search process while helping individuals build long-term careers aligned with their skills, goals, and evolving industry demands. We operate in a fast-paced, innovation-driven environment where data and technology play a central role in shaping business strategy and decision-making.###

About the Role We are seeking a detail-oriented and analytical individual with a passion for working with data. In this role, you will collaborate with cross-functional teams to uncover insights, support data initiatives, and contribute to strategic business decisions through data-driven analysis.

Key Responsibilities Analyse large and complex datasets to identify trends, patterns, and actionable insights

Support the development of predictive models and analytical solutions

Contribute to AI and machine learning initiatives

Perform exploratory data analysis to support business and operational strategies

Assist in building and maintaining data pipelines and workflows

Collaborate with analysts, engineers, and stakeholders across teams

Automate repetitive tasks using scripting and data tools

Improve data quality, accessibility, and structure

Apply statistical methods and experimentation techniques to evaluate performance

Identify inconsistencies and optimisation opportunities within datasets

Support the continuous improvement of internal data systems and processes### Education Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.### Required Skills

Experience with Python, R, SQL, or similar programming languages

Knowledge of data visualisation tools such as Tableau or Power BIUnderstanding of statistical analysis and modelling techniques

Familiarity with AI and machine learning concepts

Experience working with SQL and/or No

SQL databases

Exposure to cloud platforms or big data technologies is considered an asset

Strong communication skills with the ability to present technical insights clearly

Ability to work with both structured and unstructured data### Experience0–2 years of relevant experience in data science, analytics, or related fields.

Equal Opportunity Statement Why Hiring is committed to fostering an inclusive and diverse workplace. We welcome applications from qualified candidates of all backgrounds, identities, and experiences. Employment decisions are made fairly and in accordance with applicable Canadian employment and human rights regulations.
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