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Remote Data Scientist jobs

105 open positions in the United States, newest first.

Uses statistics, experimentation, and machine learning to answer business questions and build predictive models from company data. The role covers framing a vague question as an analysis, pulling and cleaning the data, choosing a method, and explaining the result to people who will make a decision from it. Depending on the team, the emphasis leans toward product analytics, causal inference, or modeling.

About the Data Scientist role

What the work looks like

  • Writes SQL and Python to pull, join, and clean data from the warehouse before any modeling starts.
  • Designs A/B tests with product managers, checks sample size and guardrail metrics, and reads out the results.
  • Trains and evaluates models such as churn, forecasting, or ranking, and documents their assumptions and failure cases.
  • Builds notebooks and dashboards that let stakeholders see what drives a metric without requesting another analysis.
  • Reviews colleagues' analyses for leakage, selection bias, and conclusions the data does not support.

What employers ask for

  • Python with pandas and scikit-learn
  • Advanced SQL on a cloud warehouse
  • Experiment design and causal inference
  • Statistical modeling and hypothesis testing
  • Clear written communication of findings
  • Graduate degree in a quantitative field, often preferred

Doing this job remotely

The work is done in notebooks, queries, and documents, so it suits remote teams well. The hard part is staying close enough to product and business decisions to work on questions that matter, which takes deliberate contact with stakeholders. Access to sensitive data may require a company-managed device and restrict where you can work from.

Where it comes from and where it leads

Many come from data analyst roles or from graduate programs in statistics, economics, physics, or computer science. The path leads to senior and staff data scientist, or sideways into machine learning engineering, product management, or analytics leadership.