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 10/30
Senior Backend Software Engineer - Loki | NASA
Senior Backend Software Engineer - Loki | NASA
Lead Machine Learning Scientist, Business Banking
Software Engineer Graduate (TikTok AI Search & Visual Search Infra Team) - 2027 Start
Applied AI Engineer
Applied AI Engineer – Agentic AI & LLMs
AI Engineer II
Entry Level AI Software Engineer
AI Prompt Engineer
Software Engineer Graduate (TikTok AI Search & Visual Search Infra Team) - 2027 Start
Software Engineer Graduate (TikTok AI Search & Visual Search Infra Team) - 2027 Start
Applied AI Engineer – Agentic AI & LLMs
Backend Engineer (Ruby), Plan: Spec-Driven Development
Senior Software Engineer II - Integrations
Manager, Business Analytics & Insights
AI Tech Lead
Lead Data Scientist
Software Engineer, Robotics
Software Engineer, Applied AI
Senior AI Engineer (GTM)
ML Infrastructure Engineer
Forward Deployed Engineer, Physical AI Infrastructure
Remote Backend Engineer
Software Engineering LMTS - AI Core (REMOTE)
Remote Generative AI Engineer — LLM Fine-Tuning
Senior AI-Native Forward Deployed Engineer | Remote | Long Term | C2C
Remote AI Engineer (United States)
Context Engineer
AI Composer
AI/ML 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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