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 12/27
Senior Machine Learning Engineer, Ads Content Understanding
LLM Data Scientist/Algorithm Engineer (Fully Remote)
Senior AI Full Stack Developer (Remote)
AP - Machine Learning Engineer
[Remote] Machine Learning Engineer (NLP) (Remote | $80 –$110/hr)
[Remote] Applied AI Software Developer
Gen/Agentic AI Engineer
Prompt Engineer
AI Foundry Engineer (Remote)
Agentic AI Business Applications Developer
AI Engineer
Canada- Sr Application Engineer (Salesforce-Agentforce Ai)
AI Engineer: HubSpot Automation & Integrations (Remote)
Sr Artificial Intelligence with Net Development
Remote LLM Engineer — Project-Based, API & Systems
Senior AI Full Stack Developer (Remote)
[Remote] Remote AI/LLM Engineer (reputed company/Lang Chain)
Full-Stack (Python/Java & React/Typescript)
Software Engineer, AI Developer Experience
Full Stack AI Engineer (Remote from Houston or Austin TX)
[Remote] Associate Software Engineer – Full Stack (AI First)
Remote AI Software Engineer
Senior Software Engineer:AI/ML Applications (Full Stack)-Remote
Remote LLM Engineer (RAG) - Retrieval-Augmented AI
AI Engineer - San Francisco
Software Engineer, Trust & Safety
Staff+ Application Security Engineer - M&A
Research Scientist - Generative Audio
Software Engineer, Unsecured Installments
Remote LLM Engineering Consultant – Senior Python & AI
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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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