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 20/30
Ex Technical Founder (Product Engineer)
Product Software Engineer
Prompt Engineer- Full Time Role- 8+years
Software Engineer(Agentic AI Automation)
Forward Deployed AI Engineer Energy (m/w/d)
Senior CX Platform Engineer
IT Systems Engineer, Client Platform Engineer, macOS
Senior Software Engineer, Fullstack
Senior Computer Vision / Photogrammetry Engineer (m/w/d)
Senior Manager, Data Strategy & Analytics
Full-Stack Developer – AI Systems & Agent Engineering
Principal AI Software Engineer
Staff Software Engineer, AI Foundations (AI Agent Optimization)
Senior AI Engineer (LLM & Speech) (m/w/d)
LLM – Engineering Expert
AI/ML Engineer – LLM Specialization
Sr Associate Machine Learning Engineer
Entry Level Machine Learning Engineer (Remote - Canada)
Principal AI Engineer - Personalization and Recommendation (Remote)
[Remote] Fullstack AI Engineer
Applied AI Engineer, Artificial Intelligence (AI) Required, Work From Home
Graduate AI Software Developer (11462)
AI Engineer
Junior AI Engineer
Jr. AI Developer
Principal Software Engineer, ML & Distributed Systems
AI Agent & Automation Developer
Principal Software Engineer, ML & Distributed Systems
AI Agent & Automation Developer
AI Agent & Automation Developer
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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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