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.
803 positions· page 19/27
Staff AI Engineer | United States
Staff AI Engineer | United States
Staff AI Engineer | United States
Staff AI Engineer | United States
Staff Software Engineer - AI Website Builder - US (Remote)
Test Automation Engineer (5 months-limited)
Machine Learning Engineer - Artist-First AI Music Lab
Founding Product Engineer
Software Engineer - Grafana Cloud Integrations
Remote AI Engineer Build Production-Grade LLM Systems
OpenClaw LLM Engineer (Remote)
LLM Inference Deployment Engineer
Learning Language Model Engineer - LlM (remote USA Only)
Remote AI Calling Engineer - Voice & LLM
Data / BI Engineer
AI Developer, Renewable Energy Assets
Prompt Engineer
Full Stack Engineer
Prompt Engineer, Agent Prompts & Evals
AI Prompt Engineer/ ML Engineer_ Full Time
AI Consultant - Agentic Automation & Development
Staff AI Engineer
Prompt Engineer, Agent Prompts & Evals
Staff AI Engineer
AI Prompt Engineer
AI Consultant - Agentic Automation & Development
AI Consultant - Agentic Automation & Development
Senior AI Platform Engineer
Staff AI Engineer
Engineering Manager - AI Platform
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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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