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 15/30
Agentic AI Software Engineer
Generative AI/LLM Engineer - Remote Contract
Machine Learning Engineer | Contract | Remote
AI Engineer – Agentic Orchestration (Senior) Remote / Telecommute Jobs
AI Engineer at Golden Gate University: 100% Remote (US)
Senior and/or Principal Software Engineer - AI Infrastructure
AI Engineer, Forward Deployed (Copilot and Azure AI Foundry)
Associate Software Engineer - Intelligence Systems
Software Engineer II
AI Engineer
Prompt Engineer
Data Scientist, Growth
Senior Data Scientist
Senior ML Engineer
AI Platform Engineer (m/w/d)
Senior C++ Engineer
Applied AI Architect (Brazil)
Director, Analytics Engineering
Senior Full-stack PHP Developer
Senior Decision Scientist
Senior Forward Deployed Engineer (AI Agent)
Software Engineer 5 – Agent Platform, AI Platform
AI Engineer Python and LLM-- SAJDC5978352
Sr. Staff Security Software Engineer - Agentic Security Engineering
AI Agent Builder
Applied AI Engineer
Engineer, AI & Process Automation
Junior Python AI Developer
AI Engineer
AI Solutions Specialist
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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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