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.
812 positions· page 13/28
AI Engineering Lead
AI Automation & Tool Use Engineer
AI Automation & Tool Use Engineer
AI Automation & Tool Use Engineer
AI Automation & DevOps Engineer
AI Automation & Tool Use Engineer
Software Engineer, AI Agents & Generative AI
Software Engineer, GTM
Senior Analytics Engineer
AI Agent Developer
Software Engineer, AI Agents & Generative AI
Software Engineer, AI Agents & Generative AI
Software Engineer III
Abuse Investigator (AI Self-Improvement Risk)
AI Engineer
Full-Stack Software Engineer, Reinforcement Learning
Senior Software Engineer:AI/ML Applications (Full Stack)-Remote
Freelance AI-Augmented Developer - Vibe Coding / Script Automation
Backend Engineer: AI Shopping Agents (Remote)
(Entry level) Full Stack Software Engineer (LLM application Development)
Artificial Intelligence Engineer
AI Developer (Agentic AI)
Lead Systems Engineer (Temporary)
Applied AI Engineer (Internal Operations), Remote Job
Remote Prompt Engineer – GenAI Model Tuning (Contract)
[Remote] Lead Software Architect/Engineer - AI Native (Remote US)
LLM Engineer; Remote, AS221
Vibe Coding Web Scraping Expert (Freelance)
Forward Deployed ML Engineer
Senior Full Stack 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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