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Data Science & Analytics Resume — Two-Column Template
Data science resumes thrive on specificity — model performance metrics, dataset scale, and business outcomes. Hiring managers want to see that you connect analytical work to real decisions and dollar-value results. The Two-Column layout places credentials, skills, and contact details in a sidebar, freeing the main column for your experience. It looks more polished than single-column — but some ATS systems struggle with multi-column parsing.
Why the Two-Column layout works for data science & analytics roles
check_circleDirect recruiter outreach (not through ATS portals)
check_circleCreative and design roles where visual polish is valued
check_circleStartup and SME applications reviewed by humans first
check_circleNetworking introductions and portfolio supplements
Not ATS-safe. Use as PDF for direct outreach only — do not submit through job boards with ATS parsers.
Key skills to include on your data science & analytics resume
ATS systems scan for these keywords. Make sure the ones that match your experience appear in your resume.
PythonSQLTensorFlowPyTorchPandasSparkscikit-learnTableauBigQuerydbtRJupyterA/B TestingMachine Learning
Writing tips for data science & analytics resumes
- 1Lead bullets with the metric: "Improved model accuracy from 78% to 91%, increasing revenue attribution by $2M."
- 2Mention dataset scale (rows, GB/TB) to convey the real scope of your work.
- 3Name the business stakeholders you influenced with your analysis.
Common job titles this template targets
Data ScientistData AnalystML EngineerData EngineerBI AnalystSenior Data ScientistAnalytics Lead
More Data Science & Analytics templates
Data Science & Analytics — Classic✓ ATS-Safe
Data Science & Analytics — Executive✓ ATS-Safe
Data Science & Analytics — Modern✓ ATS-Safe
Data Science & Analytics — Compact✓ ATS-Safe
Two-Column templates for other Tech roles
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