Resume Example
Data Scientist Resume Example
See a Data Scientist resume example with skills, bullet points, and ATS-friendly formatting tips. Tailor your resume in minutes.
Key skills
PythonSQLMachine learningTensorFlow/PyTorchscikit-learnSparkNLP
Modern Minimal
Clean sidebar layout with navy accent. Great for tech and finance roles.
Recommended template: Modern Minimal
Market themes
- Deep learning mentions doubled YoY
- GenAI/LLM familiarity expected
- Degrees required in ~70% of postings
Certifications
- AWS ML Specialty
- Google Cloud Professional Data Engineer
- TensorFlow Developer Certificate
Salary ranges
| Level | US | EU | Canada |
|---|---|---|---|
| Entry | USD 100,000-120,000 | EUR 55,000-75,000 | CAD 85,000-110,000 |
| Mid | USD 120,000-172,000 | EUR 75,000-100,000 | CAD 110,000-140,000 |
| Senior | USD 172,000-250,000 | EUR 100,000-140,000 | CAD 140,000-180,000 |
US hot markets
- New York
- San Francisco
- Seattle
- Boston
- Chicago
EU hot markets
- London
- Amsterdam
- Berlin
- Munich
Canada hot markets
- Toronto
- Vancouver
- Calgary
Why this works
- Highlights outcomes aligned with Data Scientist priorities.
- Emphasizes LLM Orchestration and RAG Pipelines to match ATS scans.
- Shows ownership, collaboration, and measurable results.
Example bullets
- Built an agentic workflow with tool calling, retrieval, and guardrails that cut manual triage time by 42%.
- Implemented a RAG system with reranking and eval suites that lifted answer accuracy by 28% while reducing hallucinations 35%.
- Reduced inference cost 30% and P95 latency from 3.4s to 1.9s via batching, caching, and model routing.
FAQ
Common questions about this role
What should a Data Scientist resume highlight?
Focus on LLM systems, evaluation, and production reliability so hiring teams see immediate fit.
Which skills matter most for Data Scientist roles?
Prioritize LLM Orchestration, RAG Pipelines, Vector Databases, Evaluation & Monitoring in your skills section.
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