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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