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.
789 positions· page 21/27
Staff Backend Engineer - Alerting | Ireland
Senior AI Engineer
AI Engineer [gn] (Agentic AI & Automation)
AI Enablement Lead [gn] Data Intelligence
QA Automation Lead [gn] Data Intelligence
Tech Lead [gn] Feature Team
Senior AI Engineer - Agentic Systems and LLM
Machine Learning Research Engineer – LLMs (Remote | $100 –$120/hr)
AI Creator / Vibe Coder
Agentic AI Engineer / Software Engineer - AI Applications Remote US
Remote AI/LLM Engineer (OpenAI/Lang Chain)
AI Engineer
Software Engineer
Software Engineer
Applied AI Engineer, Top Hardware Priorities
Staff Engineer - Offensive Security
Lead AI Engineer + Agent Builders
Senior Cloud / DevOps Engineer (AWS) (m/w/d)
Backend Engineer (Ruby), AI Engineering: Agent Observability
Principal Software Engineer & Product Reliability Engineer
Sr. Full-Stack Developer - AI-forward (Fully Remote)
Backend Engineer, Ruby – AI Engineering, Agent Observability
Software Engineer - Product
Remote Freelance Web Scraping Specialist; Vibe Coding
Staff Security Software Engineer, AI Security
Backend Engineer
AI Engineer
AI Engineer ($150-$400K)
AI Engineer
Agentic AI Engineer
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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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