
Data Scientist
Department:Data Engineer
Type:REMOTE
Region:Australia
Location:Australia
Experience:Entry level
Estimated Salary:A$60,000 - A$80,000
Skills:
PYTHONRPANDASNUMPYSCIKIT-LEARNSQLMATPLOTLIBPLOTLYPOWER BITABLEAUSTATISTICSMACHINE LEARNINGDATA ANALYSISDATA VISUALIZATION
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Job Description
Posted on: December 9, 2025
🗃️ We’re Hiring: Junior Data Scientist
📍 Location: Remote (Australia)
🕒 Employment Type: Full-Time
💼 Level: Entry-Level / Junior
We’re looking for a curious, analytical, and impact-driven Junior Data Scientist to join our data team. This role is ideal for early-career professionals who enjoy working with data, building models, and uncovering insights that support real-world decision-making in a collaborative, remote-first environment.
🎯 Key Responsibilities
- Assist in collecting, cleaning, and preparing data for analysis
- Build, evaluate, and maintain statistical and machine learning models
- Conduct exploratory data analyses to identify trends, patterns, and anomalies
- Work closely with analysts, engineers, and business stakeholders to translate data into insights
- Help design experiments and measure the impact of product or business changes
- Create clear visualizations and reports to communicate findings
- Contribute to documentation, best practices, and internal knowledge sharing
✅ Requirements
- 0–2 years of experience in data science, analytics, machine learning, or related projects/internships
- Proficiency in Python or R, and familiarity with common libraries (e.g., pandas, NumPy, scikit-learn)
- Basic understanding of statistics, machine learning concepts, and data analysis workflows
- Experience with SQL is a plus
- Familiarity with data visualization tools (e.g., Matplotlib, Plotly, Power BI, Tableau)
- Strong analytical thinking, attention to detail, and curiosity
- Ability to work independently in a remote-first environment
- Fluent in English
- Must be based in Australia with the legal right to work full-time
🌟 What We Offer
- A fully remote position within Australia
- Exposure to modern data science tools, techniques, and real-world applications
- Mentorship, upskilling opportunities, and clear growth pathways
- Supportive and collaborative data team culture
- Competitive compensation and benefits package
Originally posted on LinkedIn
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