A Data Scientist turns data into decisions: defining metrics, designing and reading experiments, building models that inform product and business choices, and communicating the result to people who will act on it. In AI companies the role increasingly covers model evaluation and usage analysis as well.
Data Scientist Jobs in the United States
What is a Data Scientist?
A Data Scientist turns data into decisions: defining metrics, designing and reading experiments, building models that inform product and business choices, and communicating the result to people who will act on it. In AI companies the role increasingly covers model evaluation and usage analysis as well.
Pay, measured on ENTRA: across the Data Scientist postings in this market that publish a salary, the median advertised band is $220K–$310K a year, with the top decile reaching $500K. Read it as a snapshot rather than a market average: one employer accounts for most of the postings that publish a band here. Measured 25 September 2026; the figure is recomputed from live postings, not taken from a survey.
What the job actually involves
- Design and analyse experiments, and define the metrics the company steers by.
- Build predictive and causal models for product and business questions.
- Turn ambiguous questions into measurable ones, then answer them.
- Communicate findings to product, engineering and leadership.
Skills employers ask for
Remote Data Scientist Jobs
Work on AI from anywhere.
Remote Data Scientist roles at verified companies.
Work on AI from anywhere.
Remote Data Scientist roles at verified companies.
Companies hiring Data Scientists
Employers with the most open Data Scientist roles here right now. Counts are live and move as companies publish and close postings.
Top-Paying Data Scientist Jobs
Salary shown up front.
Every ENTRA posting carries a published band — no "competitive".
Salary shown up front.
Every ENTRA posting carries a published band — no "competitive".
Frequently Asked Questions
What does a Data Scientist do?+
Defines metrics, designs and reads experiments, builds models that answer product and business questions, and communicates the results to the people who act on them.
Is data science still in demand with AI?+
Yes, and the work has shifted: AI companies need people who can measure model quality and real usage, not only classical product analytics.
What is the difference between a data scientist and a data analyst?+
Analysts mainly describe what happened; data scientists also design experiments and build models to predict or explain it.
Hiring a Data Scientist?
Hiring a Data Scientist?
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