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 1/30
Vibe Coder
Vibe Coder (Full-Stack AI/SEO)
Remote AI Engineer: Master LangChain & Prompt Engineering
AI Prompt Engineer
Remote LLM Infrastructure Engineer - Scale GPU Models
Mid/Senior AI LLM Engineer (Fully Remote)
[Remote] Principal, AI Engineer (Remote)
AI/ML Engineer - Remote, Flexible Hours, Learning Budget
Remote AI Engineer
AI-Powered Software Developer (Vibe Coding) (NEED Turkish OR Italian language proficiency)
Research Engineer, Benchmarks & Evaluation
Security Engineer (Senior / Staff)
Senior Data Engineer (m/f/d)
AI Product Engineer
Quality & Data Intern (m/f/d) – Mandatory Internship / Prácticas
Staff Software Engineer I, Platform Engineering
Full Stack AI Developer (Only W2)
Vibecode Specialist (Web Scraping and Data Extraction)
Campus AI & Automation Associate - ATL
GenAI Developer
Senior Forward Deployed Engineer - West
Lead AI Engineer (m/w/d) – Remote
(Senior) Product Engineer – AI (m/f/d) – Remote
(Senior) Software Engineer – AI (m/f/d) – Remote
(Senior) AI Engineer (m/f/d) – Remote
Senior Product Engineer (AI Agents)
Senior Applied Data Scientist / ML Engineer
Senior AI Engineer, Agentic Platform
Senior Backend Engineer, Experimentation
IT Operations 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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