✓ ATS-Safe Template
Data Science & Analytics Resume — Classic 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 Classic layout is the most universally accepted resume format — a clean single-column design that every ATS can parse without errors. Its experience-first structure puts your career history front and centre, which suits most professional roles.
Why the Classic layout works for data science & analytics roles
check_circleLarge corporations with ATS screening
check_circleTraditional industries (finance, law, government)
check_circleRoles that value conservative, professional presentation
check_circleSenior candidates with strong career progression to showcase
Fully ATS-compatible. Passes all major applicant tracking systems including Workday, Greenhouse, Taleo, and Lever.
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 — Executive✓ ATS-Safe
Data Science & Analytics — Modern✓ ATS-Safe
Data Science & Analytics — Compact✓ ATS-Safe
Data Science & Analytics — Minimal✓ ATS-Safe
Classic templates for other Tech roles
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