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.
1029 positions· page 16/35
[Remote] Senior Software Engineer, AI Transformation
AI Prompt Engineer
Senior Data & LLM Engineer (AI‑Ready Data & Agentic Systems)
[Remote] Sr. Machine Learning Engineer — ML/AI Team
Vibe Coding Engineer - Generative AI job at Computer Task Group - CTG in US National
Forward-Deployed AI Engineer
Advisory AI Engineer
Applied AI Software Engineer
AI Engineer
Staff AI Engineer
Senior Analytics Engineer - US
Senior Analytics Engineer - CANADA
AI Support Engineer - Tokyo
Staff Data Scientist
Software Engineer
Senior LLM Engineer
Agentic AI Engineer
AI Systems Engineer
Senior AI Platform & Tools Engineer
AI Engineer - AI Agents (Hybrid - San Francisco - United States)
Senior AI Platform & Tools Engineer
Associate AI Engineer, Finance Transformation
AI Engineer - AI Agents (Hybrid - New York City - United States)
Senior Data and AI Specialist
Data Science Intern (Winter 2027)
AI Tooling Engineer
Senior Golang Developer
Senior Applied AI Engineer
Staff Analytics Engineer
Senior Backend Engineer (Python), Agent Developer: Flow Components
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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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