Remote Data Scientist
Jobs
Remote data scientist jobs blend statistics, programming, and business insight — using data to drive product and business decisions. In 2026, data science has evolved: less pure research, more production ML and analytics engineering. Companies want data scientists who can ship — build dashboards, deploy models, and communicate insights clearly to non-technical stakeholders.
733 positions· page 1/25
Vibe Coder
Vibe Coder (Full-Stack AI/SEO)
Machine Learning Engineer
AI Prompt & Agent Developer
Full Stack Software Engineer
AI Engineer, Quality
Applied Scientist
Backend Engineer | Mimir
Staff Backend Engineer - Adaptive Telemetry
Senior Staff Software Engineer, CMS and Localization
DevOps Enablement Engineer / SDLC Lead
Staff Engineer, AI Security
Gen AI Developer / Sr.
Senior AI Developer on W2
Director of Software
Sr. AI & Data Scientist
Software Engineer, AI Agents & Generative AI
Sr. AI & Data Scientist
AI Product Engineer
Head of AI
Senior software engineer, enterprise AI platform (UK)
AI / LLM Engineer (Google Cloud Platform)
AI Native Software Engineer - (Remote) - 50 to 70% Travel is Mandatory
Senior Machine Learning Engineer, Dating Outcomes – New York, New York
Machine Learning Engineer, AI Powered: Custom Models | GitLab | Remote (Worldwide)
Staff AI Engineer - AI Creator
AI Engineering Lead
AI Automation & Tool Use Engineer
Software Engineer III
Software Engineer, AI Agents & Generative AI
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Frequently Asked Questions
What's the difference between a Data Scientist and an AI Engineer?
Data Scientists focus on analysis, experimentation, and business insights — 'what should we build?' AI Engineers focus on deploying AI systems in production — 'how do we build it reliably?' In 2026, the roles increasingly overlap, but Data Science leans more analytical.
What salary can remote data scientists expect?
Mid-level data scientists earn $100k–$160k, senior data scientists earn $160k–$240k, and staff/principal roles at top companies earn $220k–$360k+. Data scientists at AI-focused companies often earn more than traditional analytics-focused roles.
Do data scientists need a PhD?
No. While PhDs are common in data science, many successful data scientists have bachelor's or master's degrees in quantitative fields. What matters more: strong Python/SQL skills, statistical thinking, and a portfolio of data projects showing real impact.
What tools do data scientists use?
Python (pandas, scikit-learn, PyTorch), SQL, Jupyter notebooks, dashboarding tools (Tableau, Looker, Metabase), and cloud platforms (AWS, GCP). In 2026, data scientists increasingly use AI coding assistants to write analysis code faster.
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