Remote jobs · Data Science
0 remote data science jobs
No remote data science jobs right now. Try the work-from-anywhere filter.
Remote data science jobs: what to know
Data science is one of the higher-bar but well-compensated remote categories on RemoShift — analysis, analytics engineering, machine learning and data engineering all feature, and there is strong overlap with remote developer hiring.
The remote data market is mid-to-senior heavy: genuinely entry-level remote data-analyst roles are rare, and employers expect demonstrable SQL/Python plus a portfolio of analyses or models. The trade-off is that data roles are among the most location-independent of any category.
Use this page to browse live remote data-science and analytics roles.
Live roles
4,000+ remote data jobs
Common roles
Data analyst, analytics engineer, ML engineer, data scientist
Comp
$90k-$180k+ (senior US remote)
Remote style
Very remote-friendly; mid-senior heavy
Skills
SQL, Python, dbt, Looker/Tableau, experimentation
Frequently asked questions
Are there entry-level remote data jobs?
Few. Remote data roles are overwhelmingly mid-to-senior because employers want people who can be trusted to work async without oversight. The realistic on-ramp is a local or hybrid data-analyst role first, then move remote — or freelance analytics work to build a portfolio.
What's the difference between data analyst, analytics engineer and data scientist?
A data analyst answers business questions with SQL and dashboards. An analytics engineer builds and maintains the clean data models (dbt) that analysts rely on. A data scientist applies statistics and machine learning to predict and optimise. All three hire remotely; pay rises in that order, on average.