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 14/30
Generative AI Specialist / AI & ML Developer
Forward Deployed AI Engineer
Senior Product Security Engineer (USA Only, 100% Remote)
Head of Data Science
Senior Software Engineer II Applied AI
Senior Software Engineer - Full Stack
Senior Software Engineer - Full Stack/Front-end focused
Senior Site Reliability Engineer for Fuse team
Analyst II, Full Stack (Revenue Analytics)
AI Engineer - Full-Stack (Forward Deployed)
Full Stack Developer — Global Health & AI (REMOTE ROLE)
Machine Learning Engineer Remote / Telecommute Jobs
Staff AI Engineer (Remote)
Python GenAI
Client Platform Engineer
Forward Deployed Engineer (AI Platforms & Browser Agents)
Staff Software Engineer
Forward Deployed Engineer (AI Platforms & Browser Agents)
Software Engineer – AI Systems
https://www.linkedin.com/jobs/view/4477632187 (https://www.linkedin.com/jobs/view/4477632187) (US/Remote)
KI-Engineer- Beratung & Implementation (m/w/d)
https://govstar.us (https://govstar.us)
Senior Software Engineer
Ai Solution Engineer - (Technology Support)
(US) Principal ML System Engineer
Deployment Strategist - South Korea
Senior Data Scientist, Audio
Full Stack Developer - Global Health & AI (REMOTE ROLE)
Python Backend Engineer for AI Agent Data
AI/ML Engineer, Internal Platforms
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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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