📊Remote Async Data Science Jobs

Yes on both counts — data science remains one of tech's best-paid, most in-demand fields, and data work is among the best-suited to remote async collaboration. Analysis notebooks, dashboards and written findings are asynchronous by nature, and every data role on this page is fully remote at an async-first company.

US data scientist salaries typically run $110,000–$170,000 per year at remote companies, with machine learning engineers often earning more. Data analysts generally range from $65,000–$110,000. Pay scales with level and company stage — many listings here state the range up front.

Learn SQL, a BI tool and enough Python or spreadsheets to clean data, then build public proof: projects on GitHub, a dashboard portfolio, write-ups of real datasets you've analyzed. No degree is required at most remote companies — async-first teams communicate findings in writing, so a clearly written analysis is itself a work sample. Filter by Entry Level for junior openings.

Data science, data analytics, data engineering, machine learning and AI roles — everything currently open at the async-first companies we sync, newest first. Expired listings are removed automatically, and each job links straight to the company's application page.

Through artifacts instead of meetings: version-controlled notebooks and queries, dashboards anyone can inspect, and written analysis docs with comment threads. Reviews happen in pull requests just like engineering — so a stakeholder in another timezone reads your findings when they wake up, not on a call.