Data Scientist Resume Keywords (Action Verbs + ATS Examples)
Strong DS bullets start with verbs that imply ownership and decision impact: designed, owned, led, improved, productionized—not just ‘used’ or ‘helped with’. Use these clusters to upgrade weak phrasing.
Modeling & evaluation verbs
Signals technical depth.
- designed
- trained
- evaluated
- calibrated
- benchmarked
- tuned
- regularized
- deployed
- productionized
- monitored
Weak: Used ML
Strong: Trained and calibrated gradient-boosted churn models; improved retention lift by 8% with monitored drift.
Weak: Worked on models
Strong: Owned offline evaluation harness comparing candidate models on business-aligned metrics.
Experimentation & causal language
Shows rigor beyond offline metrics.
- designed experiments
- analyzed results
- recommended
- validated
- quantified incrementality
- controlled for
- segmented
- pre-registered
- interpreted
- communicated uncertainty
Weak: Ran tests
Strong: Designed onboarding experiment with guardrails; recommended ship based on retention + support load.
Weak: A/B testing
Strong: Analyzed ratio metrics with variance corrections; prevented misleading launch calls.
Data & feature engineering verbs
Connects modeling to systems.
- engineered features
- defined labels
- built pipelines
- partnered with data engineering
- improved data quality
- reduced leakage
- accelerated training
- standardized
- documented
- audited
Weak: Made features
Strong: Partnered with DE to productionize features; cut training-serving skew causing 3pt AUC gap.
Weak: SQL work
Strong: Authored SQL feature sets with point-in-time correctness for training datasets.
Stakeholder & leadership verbs
Senior DS signals.
- presented
- influenced
- aligned
- prioritized
- mentored
- defined success metrics
- facilitated
- translated
- negotiated trade-offs
- drove adoption
Weak: Good communication
Strong: Presented model trade-offs to exec team; aligned on precision/recall targets for compliance.
Weak: Helped team
Strong: Mentored two analysts on experiment design; reduced review cycle time.
Weak verbs to avoid (replace with specifics)
ATS may still parse them, but humans won’t be impressed.
- helped
- assisted
- involved in
- responsible for
- worked on
- familiar with
- exposed to
- various
- multiple
- general
Weak: Responsible for modeling
Strong: Owned end-to-end churn modeling from label definition to production monitoring.
Weak: Worked on data projects
Strong: Built pricing response models informing discount strategy across regions.
Where to use these keywords (ATS + readability)
Experience bullets
Start bullets with a strong verb + scope + tool + metric (in any readable order).
Summary
Use 1–2 leadership verbs only if backed by bullets.
Experience bullets
Replace ‘utilized’ with ‘used’ sparingly—prefer ‘built’, ‘shipped’, ‘cut’.
Skills
Skills lines are noun-heavy; verbs belong in experience.
Experience bullets
Pair experimentation verbs with guardrail metrics when relevant.
Common mistakes
- Repeating the same verb ten times—vary with synonyms but keep accuracy.
- Inflating seniority with ‘led’ when you contributed as IC.
- Vague verbs with no numbers: ‘improved model’ without metric or baseline.
- Buzz verbs (‘synergized’) that read as filler.