Remote Data Scientist

jobnetic • Australia
Remote
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AI Summary

We're seeking a mid-level to senior data scientist to transform data into actionable insights in a fully remote environment. The ideal candidate will have experience in data science, analytics, or a related field and proficiency in Python or R. They will work with cross-functional teams to build models, analyze trends, and drive strategic decisions.

Key Highlights
Collect, clean, and analyze structured and unstructured data
Develop, train, and validate machine learning and statistical models
Build dashboards, visualizations, and data tools for stakeholders
Translate complex data findings into actionable business insights
Collaborate with engineering, product, and business teams on data needs
Technical Skills Required
Python R Pandas NumPy Scikit-learn SQL Tableau Power BI TensorFlow PyTorch MLflow Kubeflow Airflow Spark Hadoop
Benefits & Perks
100% remote work with flexible hours
Competitive salary and benefits
Professional development and mentorship opportunities
Access to modern analytics and cloud tools

Job Description


📊 We’re Hiring: Remote Data Scientist

📍 Location: Remote

đź•’ Employment Type: Full-Time

đź’Ľ Level: Mid-Level / Senior

We are seeking a highly analytical and detail-oriented Remote Data Scientist to help transform data into actionable insights. You’ll work with cross-functional teams to build models, analyze trends, and drive strategic decisions in a fully remote environment.

🎯 Key Responsibilities
  • Collect, clean, and analyze structured and unstructured data
  • Develop, train, and validate machine learning and statistical models
  • Conduct experiments and perform hypothesis testing
  • Build dashboards, visualizations, and data tools for stakeholders
  • Translate complex data findings into actionable business insights
  • Collaborate with engineering, product, and business teams on data needs
  • Maintain data accuracy, reliability, and proper documentation
  • Stay current on industry trends, analytics tools, and emerging technologies
âś… Requirements
  • 2–5+ years of experience in data science, analytics, or related field
  • Proficiency in Python or R, including data libraries (Pandas, NumPy, Scikit-learn, etc.)
  • Strong SQL skills and experience with large datasets
  • Knowledge of machine learning algorithms and statistical modeling
  • Familiarity with data visualization tools (Tableau, Power BI, or similar)
  • Strong analytical, problem-solving, and communication skills
  • Degree in Data Science, Computer Science, Statistics, Mathematics, or related field
🌟 Nice-to-Have
  • Experience with deep learning frameworks (TensorFlow, PyTorch)
  • Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)
  • Experience with NLP, time-series forecasting, or recommendation systems
  • Familiarity with big data tools (Spark, Hadoop)
  • Prior experience preparing executive-level reports
🚀 What We Offer
  • 100% remote work with flexible hours
  • Opportunity to influence data-driven decisions across the company
  • Collaborative and supportive virtual team environment
  • Professional development and mentorship opportunities
  • Competitive salary and benefits
  • Access to modern analytics and cloud tools



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