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.
1057 positions· page 11/36
Remote Senior NLP Engineer: LLM & Knowledge Graph Lead
Software Engineer – AI/ML & LLM - Remote
Senior Applied AI Engineer
AI & Automation Engineer
Sr Staff GenAI Engineer
Semi-Senior Full Stack Engineer (Python / React) - E-learning
Senior Back-end Engineer (PHP/Python) - Pet Tech Platform
Software Engineer, Machine Learning Platform, New Grad - Quora
Detection & CorpSec Engineer
GenAI Software Development Engineer
Support Systems Lead (NYC)
Support Systems Lead (Foster City)
Software Engineer, Astral
Software Engineer II | AI & Agentic Systems
Senior Machine Learning Engineer
Senior WEM AQM Prompt Engineer
LLMOps Engineer-Remote
AI/ML Engineer - Remote
Staff AI Engineer
Base44 Vibe Coding
Base44 Vibe Coding
Sr. Staff Machine Learning Engineer (Remote-Eligible)
Ai Prompt Engineer - Chandler, Az
GenAI Engineer (US)
AI Agent & Automation Developer
AI Engineer
AI Agent & Automation Developer
AI Agent & Automation Developer
Applied AI Engineer
Software Engineer, AI/ML
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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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