1000+ Remote Data Scientist Jobs in United States

This 2026 LinkedIn job search results page features over 1,000 open remote Data Scientist positions across the United States, with many employers actively hiring and responding to applications within 1 week of posting. All listed roles are fully remote, with no required on-site office attendance for candidates based in the U.S., and span a wide range of seniority levels from entry-level to principal and leadership roles. Openings are available across diverse industries including technology, healthcare, finance, e-commerce, marketing, and management consulting. Typical responsibilities for these roles include building and tuning machine learning models, cleaning and analyzing large structured and unstructured datasets, designing A/B tests to measure product performance, collaborating with engineering, product, and business teams to deliver data-driven solutions, and presenting insights to executive stakeholders. Many listings offer competitive base compensation, equity, flexible scheduling, and remote work stipends for home office equipment. Candidates can use their LinkedIn professional network to secure referrals for open roles, which significantly increases the likelihood of being contacted by hiring managers. All positions are verified to meet remote work eligibility requirements for U.S.-based candidates.

• Bachelor’s or advanced degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field (some entry-level roles accept equivalent hands-on experience in lieu of formal education)
• Proficiency in at least one core data analysis programming language (Python, R, or SQL) and experience with data manipulation libraries (e.g., Pandas, NumPy, Tidyverse)
• Familiarity with machine learning algorithms, statistical modeling, and data visualization tools (e.g., Tableau, Power BI, Matplotlib)
• Strong analytical problem-solving skills and ability to translate complex technical findings into clear, actionable insights for non-technical stakeholders
• Eligibility to work remotely from a physical location within the United States
• Prior professional experience in data science, data analysis, machine learning engineering, or a related role (requirements vary by the seniority level of the specific opening)
• Excellent communication and collaboration skills to work effectively with cross-functional distributed teams