Remote Data Scientist Jobs: Role, Salary & Demand
A data scientist turns data into insight and decisions — combining statistics, machine learning, and domain knowledge to build models, run experiments, and answer business questions. Remote data science is common because the work centers on shared cloud data and reproducible notebooks.
What a Remote Data Scientist Does
- Explore and clean data, then frame business problems statistically
- Build, validate, and interpret predictive and inferential models
- Design and analyze experiments (A/B tests)
- Communicate findings to non-technical stakeholders
- Partner with data and ML engineers to productionize models
Skills Employers Look For
Remote Data Scientist Salary
Senior remote data scientist roles typically pay $115k–$200k base per year in the US market. Senior remote US-market base ranges. ML-heavy and staff-level data science roles trend higher.
Ranges are widely-reported US-market figures for senior levels, shown as market context. Live listing counts above are computed from remoty.work's own database.
Remote Demand for Data Scientists
Remote data science demand is steady and concentrated at data-mature and AI-forward companies. Cloud data platforms and reproducible tooling make the role naturally distributed-friendly.
Right now remoty.work tracks 26 live remote data scientist listings from 24 companies. Every one is scored A–F by our intelligence engine and screened for ghost jobs .
Top-Scored Live Data Scientist Jobs
View all 26 →Site Reliability Engineer (SRE)
DevOps & Platform Engineer (AWS / CI/CD)
Sales Engineer (Remote, US Based)
Senior Web Developer
Frequently Asked Questions
Can data scientists work remotely?
Yes — remote data science roles are common because the work centers on shared cloud data warehouses and reproducible notebooks that teams access from anywhere.
How much do remote data scientists earn?
Senior remote data science roles in the US market typically pay $115k to $200k base, with ML-heavy and staff-level roles higher.
What is the difference between a data scientist and a data engineer?
Data scientists analyze data to build models and insights; data engineers build the pipelines and infrastructure that make that data usable. Data science is more statistics- and modeling-focused.