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.
789 positions· page 5/27
Working Student AI Enablement (d/f/m)
AI & Automation Engineer
AI & Automation Engineer
AI Engineer
Generative AI Engineer
AI & Automation Engineer
AI Developer at worx-ai
AI & Automation Engineer
GenAI CCAS Application Developer
Software Engineer
AI Engineer — AWS Bedrock AgentCore & Production Agentic Systems | LATAM & Europe
Staff Application Security Engineer
Senior Data Scientist (m/f/x)
Staff, Technical Support Engineer
Senior Software Engineer - Security Libraries
AI Engineer, Sr 1
Technical Trainer, Global AI Enablement
Intermediate or Sr Software Developer (AI Platform & Applications)
AI Engineer (Azure AI / Generative AI)
Artificial Intelligence Intern
Backend Developer
Full Stack Software Engineer
Generative AI Engineer
Founding Engineer
Senior Machine Learning Engineer (NLP/LLM Focus)
Intermediate or Sr Software Developer (AI Platform & Applications)
Microsoft Power Platform Developer
Werkstudent*in Machine Learning - Fokus Sustainability
Azure Data Engineer II - Agentic AI Platform
AI Solution Architect (m/w/d)
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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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