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 6/36
Business Systems Engineer
B2B Senior DevOps Engineer
AI Benchmark Engineer | Native Language Specialist - French (France) - Remote
Praktikant:in als LLM /RAG & Machine Learning Engineer (m/w/d)
Senior Software Engineer, Growth Enablement
Enterprise Solution Engineer - Central
Senior Java & React Developer
Machine Learning Engineer III
ML Engineer - LLM Evaluation & Automation
Entry Level Agentic AI Developer (Python)
Junior AI Engineer | Full Stack Developer | Financial Services / Venture Capital
AI Developer
Data Solutions AI Application Developer III
Forward Deployed AI Engineer
AI Engineer
Senior Application Security Engineer (all genders)
Senior Backend Engineer (Core Team)
Software Engineer II (Mobile Developer - Android/Kotlin) - Mobile App Growth
AI-First Data Engineer (m/f/d)
Senior Machine Learning Engineer
Engineering Manager, SupportX
Senior .NET Full-stack Developer
AI Engineer (US-Based / Part-Time)
LLM Engineer
Remote - Artificial Intelligence and Machine Learning Engineer
Backend Engineer, AI Systems
Applied AI Engineer, Office of the CEO
Data Solutions AI Application Developer
Staff Application Security Engineer
Staff AI Engineer - AI Product
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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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