2026 ATS Optimized
Top Resume Keywords for
Data Scientists
Recruiters scan resumes for barely 6 seconds. If these keywords aren't on your resume, you might be getting auto-rejected.
See the full Data Scientist skill gap analysisTechnical Skills
These are the hard skills and tools that define the role. Mention these in your "Skills" section and within your work experience bullet points.
PythonMachine LearningStatistical AnalysisSQLPandasNumPyMatplotlibSeabornScikit-learnTensorFlowPyTorchFeature EngineeringA/B TestingTableauNLPAWSPower BIGCPAzureRApache SparkHadoopSageMakerVertex AIMLOpsData Ethics
Soft Skills
Use these keywords to describe *how* you work. Weave them into your summary and accomplishment stories.
Data StorytellingCollaborationBusiness Acumen
Don't Just Copy-Paste. Prove It.
Adding keywords is easy. But can you pass the technical interview? Take our free skill assessment to see if you actually match the expectations for a Data Scientist. Practice Data Scientist interview questions →
Keywords only help if the ATS can read them. Check your resume's ATS parse rate free → · Write a truthful cover letter →