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.
892 positions· page 6/30
Remote AI Developer — Multi-Agent & LLM Systems
AI & Automation Engineer
AI Engineer
AI & Automation Engineer
AI & Automation Engineer
AI & Automation Engineer
AI & Automation Engineer
AI & Automation Engineer
Senior Gen AI Engineer
Full-Stack Software Engineer (Backend-Leaning) | Fully Remote | Willow Processing
Senior Site Reliability Engineer
Sr. AI/ML Engineer (MXC)
Senior Staff Software Engineer, Data
Threat Detection Analyst (Japanese & English speaking)
Staff Data Engineer
Senior Software Engineer, Internally Deployed Products
Remote | AI/ML Engineer, Internal Platforms — $220,000–$300,000/year
AI Prompt Engineer(Contract)
Automation Developer
AI Agent Engineer
DevOps Engineer, Edge and Developer Experience (Remote Eligible in Bulgaria)
AI Workflow Engineer and Developer (Remote)
Only W2: AI Prompt Engineer / Agentic AI Engineer, 100% Remote
Software Engineer/Developer (AI Focus) -
Mid/Senior AI LLM Engineer (Full Remote - Europe)
Senior Applied ML Engineer - LLM Routing (Remote-First)
Mid/Senior AI LLM Engineer – Remote (Europe)
Senior Machine Learning Engineer (Remote)
Applied AI Engineer - Remote
Senior AI Developer - Remote - 3 Months - Octopus by RTG - Immediate Hire
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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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