Remote Entry Level Data Scientist

Working Nomads aggregates remote entry-level data science opportunities from companies worldwide. This listing represents a typical entry-level data scientist role you might find on our platform. As a Junior Data Scientist, you'll collaborate with cross-functional teams to analyze complex datasets, build predictive models, and derive actionable insights that drive business decisions. You'll work with modern data stacks including Python, SQL, and cloud platforms (AWS/GCP/Azure), applying statistical analysis and machine learning techniques to solve real-world problems. This remote position offers flexibility to work from anywhere while contributing to impactful projects across industries like fintech, healthcare, e-commerce, and SaaS. You'll receive mentorship from senior data scientists, participate in code reviews, and have opportunities to present findings to stakeholders. The ideal candidate is curious, analytical, and eager to grow their skills in a supportive remote-first environment. Benefits typically include competitive salary, equity, health insurance, professional development budget, and flexible working hours.

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (or equivalent practical experience)
• Proficiency in Python (pandas, NumPy, scikit-learn) and SQL
• Solid understanding of statistical concepts (hypothesis testing, regression, probability)
• Experience with data visualization tools (Matplotlib, Seaborn, Tableau, or Power BI)
• Familiarity with machine learning algorithms and model evaluation techniques
• Strong problem-solving skills and ability to communicate technical findings to non-technical audiences
• Experience with version control (Git) and collaborative coding practices
• Self-motivated with excellent time management for remote work
• Portfolio or GitHub showcasing data science projects is a plus