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.
803 positions· page 3/27
Senior AI/Machine Learning Engineer
Data Science/Machine Learning Engineer (Remote, Continental United States)
[Remote] AI Vibe Coding Engineer
[Remote] AI Vibe Coding Engineer
AI Engineer (LLM Products) - Remote
Senior / Lead AI Engineer
[Remote] ML / LLM Engineer (Remote)
Senior Machine Learning Engineer, AI Governance
Senior Machine Learning Engineer - Systems
Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)
Lead AI Engineer, GTM Applications (Remote)
Applied AI Engineer - Remote
Lead Agentic AI Engineer @ Remote Job
GenAI Tools Support Engineer - Vibe Code (Claude, Cursor, Copilot)
Software Engineer (Mid to Sr Levels)
Software Engineer, Applied AI
Member of Technical Staff (Software Engineer, Capabilities)
IT Systems Engineer, Client Platform Engineer
Full-Stack Engineer
Senior SecOps Automation Engineer – Consumer FinTech
Senior/Lead Data Engineer – AI-Native Aftermarket Platform
Forward Deployed Engineer – Technology
MuleSoft Integration Architect (m/f/d) (Ref.Nr.: 47027)
Senior React Native Developer
Prompt Engineer (100% Worldwide Remote) in Los Angeles, CA in vidIQ
Prompt Engineer (100% Worldwide Remote) in Los Angeles, CA in vidIQ
Looking for Prompt Engineer || Austin, TX/Remote || Fulltime
[Remote] AI Engineer (LLM/Java) - (Remote is fine & w2 only)
AI Engineer (Vibe Coder), Remote Job
AI Lead Developer/Architect - Remote - Travel is required
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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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