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 14/35
Senior AI Engineer
Principal AI Software Engineer
[Remote] Artificial Intelligence Engineer
Prompt & Agentification Engineer - Master-Level Internship
Golang Developer / Forward Deployment Engineer
Conversational AI Engineer
Senior Engineer
AI Engineer
Senior/Staff ML Engineer, ML Acceleration and Performance
AI Engineer
AI Agentic Engineer
IT Systems Engineer, Mobile Client Platform Engineer
Senior Software Engineer, Platform
Senior Enterprise AI Engineer (AWS Bedrock)
Senior Software Engineer, Application Platform
Deployed Engineer (Federal)
Manager, Software Engineering
Software Engineer, Model Runtime
Machine Learning Engineer
Product Engineer (Full Stack)
Backend Engineer (AI Agents)
Contract Platform Engineer
.Net and Python Developer (AI) (W2 only)
Product Engineer - Full Remote
[Remote] Full stack developer with Gen AI
Member of Engineering (Synthetic Data Research)
Software Engineer - AI Experience *Remote* (m/f/d)
Forward Deployed Engineer, Agentic Platform (UK Public Sector)
AI Engineer I
AI Builder, Emerging Talent
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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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