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.
1057 positions· page 3/36
Analytics Engineer II
Principal ML Platform Engineer
Full-Stack Developer (US-Based / Remote / Part-Time)
Senior AI/LLM Engineer
Vibecode Specialist Web Scraping And Data Extraction
[Remote] AI Vibe Coding Engineer
Senior AI Engineer (Remote)
AI Engineer, Copilot Platform
AI Software Integrator
Agentic AI Engineer - Intelligence Engineering (Agentic AI)
Artificial Intelligence Engineer
AI Engineer
JR and SR AI Developer
AI Application Engineer
AI-Native Full-Stack Engineer (Remote
Front End Senior Full Stack Developer- Mortgage Automation (AI-First)
Sr. Full-Stack Developer - AI-forward
Senior Data Scientist / LLM Engineer
Senior AI Infrastructure Engineer, LLM/AI Platforms
Senior High-Performance LLM Training Engineer
AI Engineer - Remote
AI Engineer - Remote
Freelance Software / Data / AI Engineer (m/w/d) - Development | Data | AI
Senior ML Engineer | Germany (3 Month project)
Staff Information Security Engineer - AI First
IT Automation Engineer - Business Technology (Central/Mountain Time - US)
Software Engineer — Python / .NET
AI Engineering Manager / REMOTE / Work Life Balance
Product Engineer
Senior High Performance AI Engineer, Agentic 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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