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.
761 positions· page 23/26
Werkstudent:in AI Quality Engineering (m/w/d)
Infrastructure and Endpoint Security Engineer
AI Principal
Founding ML Engineer (Stealth Healthcare Startup)
Senior Software Engineer
Software Engineer- L2
Software Engineer, Platform Engineering
Senior Software Engineer, Trust & Safety
Software Engineer
Data Scientist
Senior ML Engineer - AI Document Intelligence (Remote, $15K Contract)
Remote AI/ML Engineer - LLMs, RAG & Production
Senior Full-Stack Mobile Developer (AI & NLP Focus)
Vibe Coding Specialist
AI Engineer
Lead AI Product Software Engineer
Python AI Engineer
Senior AI Engineer
AI Pilot Vibe Coding Specialist
Vibe Coding Specialist Python Automation
Principal Data Engineer
Software Engineer - Tooling & AI Workflows (Contract)
Prompt Engineering Fellow
Data Scientist II - Advertising
Data Scientist - Advertising
Staff ML Infrastructure Engineer
Software Engineer II, AI Developer Tools
Security Engineer, Offensive Security
Staff Backend Engineer - Adaptive Telemetry
Staff Backend Engineer - Adaptive Telemetry
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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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