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 5/30
Machine Learning Engineer, New Grad – Quora (Remote)
Sr. AI Engineer Remote - United States • Remote
AI Engineer : Full Time
Staff AI Engineer
AI Engineer
Staff Software Engineer, AI Agents
AI Engineer, Commercial
AI Engineer, Commercial
AI Engineer, Commercial
Distinguished Engineer - Software Development
AI Engineer, Commercial
AI Engineer, Commercial
AI Engineer, Commercial
AI Prompt Engineer
AI Engineer, Commercial
Senior Data Engineer, Datacraft team
Senior Manager, Accounting
Senior Software Engineer II, Applied AI
Senior Software Engineer, Product
Senior Backend Engineer
Senior Software Engineer LATAM
Applied AI Architect, OpenAI for Government
Technical Support Engineer I
Code Quality Engineer for LLM Evaluation
LLM Infrastructure Engineer
Remote Senior Python Engineer - AI/LLM & API Systems
Software Engineer – AI/ML & LLM - Remote
Senior AI/LLM Engineer (Python) - Remote
Fully Remote Senior Developer / AI Engineer
AI Engineer, Remote Job
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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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