Remote Data Scientist (1000+ Openings, United States)

This LinkedIn job search page curates over 1000 remote Data Scientist opportunities across the United States, suitable for professionals at every career stage from entry-level new graduates to senior individual contributors and data science leadership. Openings span a diverse range of industries including technology, healthcare, finance, e-commerce, education, and non-profit, with core responsibilities covering machine learning model development, statistical data analysis, predictive analytics, data pipeline engineering, business intelligence strategy, and cross-functional stakeholder collaboration to drive data-informed business decisions. All listed roles are fully remote, with no required in-office attendance for candidates based anywhere in the United States. LinkedIn's AI-powered search tools allow users to filter openings by required experience level, technical skills, salary range, company size, and industry to find roles aligned with their career goals. The platform also lets candidates leverage their existing professional network to secure referrals, gather insider insights on hiring teams, and accelerate the application process. New remote Data Scientist roles are added to the board daily, making this a dynamic, up-to-date resource for data professionals seeking flexible work arrangements. The listed positions include full-time, part-time, contract, and internship opportunities, with full-time permanent roles making up the majority of available openings.

• Bachelor's degree or higher (Master's or PhD preferred) in Data Science, Statistics, Computer Science, Mathematics, Economics, or another quantitative field
• Proficiency in at least one programming language commonly used for data science (Python, R, or SQL) and experience with data manipulation libraries (e.g., pandas, NumPy)
• Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI, matplotlib)
• Strong analytical, critical thinking, and problem-solving skills, with the ability to translate complex business questions into actionable data insights
• For mid-senior level roles: 2+ years of professional data science experience, with a track record of deploying production-grade machine learning models
• For leadership roles: 5+ years of data science experience and prior experience managing cross-functional data teams
• Eligibility to work in the United States, with some roles requiring US citizenship, permanent residency, or active security clearance