We're looking for a Junior Data Scientist to support data-driven decision-making. This role is ideal for early-career professionals who are passionate about statistics, machine learning, and turning data into actionable insights.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
🗃️ We’re Hiring: Junior Data Scientist
📍 Location: Remote (Australia)
🕒 Employment Type: Full-Time
💼 Level: Entry-Level / Junior
We’re looking for a curious and analytical Junior Data Scientist to support our data-driven decision-making. This role is ideal for early-career professionals who are passionate about statistics, machine learning, and turning data into actionable insights in a collaborative, remote-first environment.
🎯 Key Responsibilities- Assist in analyzing large datasets to identify trends, patterns, and insights.
- Support the development and validation of statistical models and machine learning algorithms.
- Work closely with data engineers, analysts, and business stakeholders to translate business questions into data solutions.
- Prepare, clean, and transform structured and unstructured data for analysis.
- Create data visualizations, dashboards, and reports to communicate findings clearly.
- Document models, methodologies, and analytical processes.
- Continuously learn and apply new data science tools and techniques.
- 0–2 years of experience in data science, analytics, or related academic/projects/internships.
- Solid foundation in statistics, probability, and data analysis.
- Proficiency in Python or R; familiarity with SQL is required.
- Basic understanding of machine learning concepts (e.g., regression, classification, clustering).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) is a plus.
- Strong analytical thinking and problem-solving skills.
- Ability to work independently in a remote-first environment.
- Fluent in English.
- Based in Australia with the legal right to work full-time.
- Fully remote position within Australia.
- Hands-on experience with real-world data science projects.
- Mentorship and structured learning opportunities for career growth.
- Supportive, collaborative, and inclusive remote work culture.
- Competitive compensation and benefits package.