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.
812 positions· page 26/28
Staff Software Developer, AI/ML
Agentic AI Developer (Client Facing)
Full-Stack Developer (Junior)
Staff AI Engineer, People Technology
Staff AI Engineer, People Technology
Applied AI Engineer – Agentic Workflows
AI/ML Engineer - Remote
Staff product engineer (fullstack) (IC-4)
AI Engineer – AI Observability and Quality
Prompt Engineer, Claude Code
Senior AI Engineer - Remote (EMEA) at ARNVIND GROUP
Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)
Vibe Coding Web Scraping Expert (Freelance)
Software Engineer – Full Stack AI - US-Remote
Senior Full-Stack Developer, No-Code Platform & AI Team
Full Stack Engineer (Early Career to Senior) – Agentic AI Products
AI Process Optimization Lead
Senior Backend Engineer - Synthetic Monitoring
Senior Backend Engineer - Synthetic Monitoring
Senior Backend Engineer - Synthetic Monitoring
Senior Backend Engineer - Synthetic Monitoring
Senior Backend Engineer - Synthetic Monitoring
Senior Backend Engineer - Synthetic Monitoring
System Software Engineer - AI
Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring | United Kingdom
Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring | United Kingdom
Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring | United Kingdom
Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring | United Kingdom
Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring | United Kingdom
Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring | United Kingdom
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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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