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 8/36
Mid Level AI Engineer
Core Processor App Dev - Azure Cloud and AI Developer
AI Engineer
Applied AI Engineer
AI/ML Engineer
AI/ML Engineer
AI/ML Engineer
Python AI Engineer
GTM Business Systems Engineer, Quote-to-Cash
Senior Software Engineers — FDE, Full-Stack, Backend
Remote AI Systems & Automation Engineer (Internal Operations) (m/f/d)
Software Engineer, AI/ML Infrastructure
Senior Software Engineer, Developer Experience
Senior QA Automation Engineer (Platform)
Staff Quality Engineer
AI Automations Engeneer (m/w/d)
(Senior) AI Product Engineer (m/w/d)
Gen AI Engineer
Junior Python AI Developer (with ADK)
AGY 1P/3P Community Support
Engineer, AI/ML
Artificial Intelligence Engineer
Senior Developer - AI
Fullstack Software Engineer - Core
Applied AI Architect, Education
Founding Engineer, Data Scientist, Founding Operations, Founding Marketer
Generative AI & Machine Learning Engineer (McLean)
Staff Software Engineer - AI/Agent Engineer, Care Automation
Senior Machine Learning Engineer- Generative AI (REMOTE)
Senior SOCD Applied AI 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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