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.
761 positions· page 25/26
Senior Backend Engineer - Mimir
Backend Software Engineer - Mimir Ingest
Backend Software Engineer - Mimir Ingest
Backend Software Engineer - Mimir Ingest
Backend Software Engineer - Mimir Ingest
Backend Software Engineer - Mimir Ingest
Senior Data Scientist - Music Mission
Senior Data Engineer
Senior Backend Engineer - Grafana k6
Senior Backend Engineer - Grafana k6
Senior Backend Engineer - Grafana k6
Senior Backend Engineer - Grafana k6
Senior Backend Engineer - Grafana k6
ML/AI Engineer (432)
[Remote] Prompt Engineering Specialist
Senior Machine Learning Engineer, Ranking - Quora (Remote)
Senior Software Engineer, New Product
Snr. Software Engineer - AI Engineering (Remote)
AI Engineer - Remote
Sr Frontend Engineer
Senior Software Engineer - AI Native (Remote US)
Data Scientist - Music Mission
Site Reliability Engineer - Backstage
AI Engineer (Full-time) — O₂ AI
Senior AI Infrastructure Engineer, AI Tooling - DGX Cloud
Freelance Python Test Framework Specialist (AI Trainer)
Full-Stack AI Engineer-Remote Opportunity
Ai/Ml Engineer – LLM Systems (M/W/D)
Senior Large Language Model (LLM) Operations Engineer
Freelance LLM Prompt Engineer - Investing Content
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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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