Data Scientist resume template
Uses statistics, experimentation, modeling, and business context to turn data into decisions.
A Data Scientist applies statistical analysis, machine learning, and experimentation to solve business problems. This role spans from exploratory analysis and A/B testing to building predictive models that drive product and strategy decisions. Resumes must show the connection between analytical work and measurable business outcomes.
Recommended: professional template
The professional template balances technical metrics with business impact storytelling.
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Why this template works
- Highlights the sections that matter most for Data Scientist hiring.
- ATS-optimized layout that preserves keyword density and section parsing.
- Clean typography with room for proof examples and measurable outcomes.
Salary range: $110K–$170K
Common job boards: LinkedIn, Kaggle Jobs, Indeed
Top skills to feature
- Python
- SQL
- statistics
- machine learning
- experimentation
- visualization
ATS keywords to include
- Python
- SQL
- statistics
- A/B testing
- machine learning
- forecasting
Recruiter signals
- business problem framing
- model validation
- decision or revenue impact
Proof examples
- model accuracy
- experiment lift
- dashboard adoption
- business recommendations
Recommended sections
- Data Science Profile
- Models
- Analytics Experience
- Projects
- Tools
Common mistakes to avoid
- Listing algorithms without explaining the decision they improved.
- Using a generic summary that does not name the target role.
- Listing tools without showing where they were used.
- Adding metrics that are not supported by project, work, or portfolio evidence.