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 9/27
Engineer, AI Prompt Security
Gen AI Lead Engineer (W2 Only)
[Remote] Machine Learning Engineer / Data Scientist
Developer, AI Vibe Coding & Engineering
AI Agent Engineer
Demo Engineer
Software Engineer
Applied AI Engineer
Junior AI "Vibe Coder"
AI Engineer - $60.10 - $74.52 per hour
Staff AI Engineer
Senior Software Engineer - Databases, SRE
Senior Software Engineer - Databases, SRE
Senior Software Engineer - Databases, SRE
Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home - M
Software Engineer
Artificial Intelligence (AI) Engineer
Senior Software Backend Engineer
Artificial Intelligence Specialist
Artificial Intelligence Engineer
Artificial Intelligence Engineer
AI SoC Hardware Architect
Prompt Engineer (100% Worldwide Remote) in Los Angeles, CA in vidIQ
Prompt Engineer (LLM Systems, Evals & Safety)
Python Infrastructure Engineer — LLM Training & Agent Tooling [AS‑L]
AI Red Team Engineer — LLM Security & Pentesting (C1 English)
LLM Data Engineer | United States | Fully Remote
AI Software Engineer - Remote
Forward-Deployed AI Engineer
AI/ML Engineer -LLM, GraphRAG (Remote) - 69355
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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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