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.
1057 positions· page 9/36
Microsoft CoPilot & AI Engineer
Microsoft CoPilot & AI Engineer
AI Support Engineer - Singapore (Korean Speaking)
Forward Deployed Engineer, Agentic Platform (West Coast)
Forward Deployed Engineer, Agentic Platform
Backend Engineer
Applied AI Engineer, Cyber, Government
Senior Technical Product Engineer, Technical Product Engineer (Early Career)
Quantitative Researcher
Founding AI Engineer — Agentic Systems
https://www.govstar.us (https://www.govstar.us)
https://e123insurtech.com (https://e123insurtech.com)
Senior AI Engineer and Senior Product Engineer
SENIOR SOFTWARE ENGINEER (Python/Django + JavaScript - VueJS/React)
Sr. Software Engineer
Senior QA Automation Developer (Platform)
Principal Analytics Engineer
Security Engineer (SOC) (m/w/d)
Engineering Manager, Agent Foundations: Agent Execution
Senior Machine Learning Engineer - Artist-First AI Music Lab
Senior Security Engineer
AppSec Engineer
AI Agent Security Architect
Remote AI Software Engineer
Applied AI Architect, Government
Senior Machine Learning Engineer (Remote)
Senior Full Stack Developer (Python)
Senior Full Stack AI Developer
Artificial Intelligence Engineer (AI Developer)
Software Engineer
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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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