ATS keywords for a data scientist resume
The key ATS keywords for a data scientist resume are languages (Python, SQL, R), ML libraries (PyTorch, scikit-learn, TensorFlow), data tooling (Snowflake, Airflow, Spark, Databricks), and statistical methods (A/B testing, causal inference). Group them by category and back each with a quantified, business-outcome bullet.
Data science ATS filters key off both the modeling stack and the data infrastructure, so list both. The differentiator between a data scientist and a dashboard analyst is the statistics and experimentation vocabulary — make sure terms like causal inference, A/B testing, and time series appear if you genuinely use them.
Languages
ML libraries
Data tooling
Statistics & methods
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