Remote Entry Level Data Science Job Openings

This Indeed search aggregates 256 verified entry-level data science job openings offering fully remote, work-from-home flexibility across industries including technology, administration, healthcare, finance, and e-commerce. These roles are tailored for candidates with foundational data science skills, including proficiency in Python or R, basic statistical analysis, data visualization, and familiarity with tools like pandas, NumPy, or Tableau, with many positions requiring no prior professional experience. Opportunities range from junior data analyst and associate data scientist roles to machine learning intern and data engineering assistant positions, with employers offering competitive entry-level compensation, professional development resources, and flexible asynchronous or hybrid schedules to support work-life balance. All listings are moderated by Indeed’s team to ensure legitimacy, with clear application instructions, salary transparency where available, and direct connections to hiring managers at startups, mid-sized companies, and large enterprise organizations. Candidates can filter results by specific skill requirements, compensation range, company size, and industry to find roles aligned with their career goals and experience level.

• Foundational proficiency in at least one data analysis programming language (Python, R, or SQL preferred)
• Basic understanding of core statistical concepts, data cleaning, and exploratory data analysis techniques
• Familiarity with standard data science tools including pandas, NumPy, Matplotlib, or Tableau
• Strong problem-solving skills and attention to detail when working with structured or unstructured datasets
• Excellent written and verbal communication skills to translate data insights for non-technical stakeholders
• Eligibility to work remotely from your location (no geographic restrictions for fully remote roles)
• Bachelor’s degree in data science, statistics, computer science, mathematics, or a related field, or equivalent practical experience demonstrated through personal projects, coursework, or professional certifications