Professional summary example
Two or three sentences that say who you are, what you are best at and what you bring to the next role:
Data scientist with 5 years of experience building machine learning models for pricing and personalisation. Takes projects from question to production model, and explains results clearly to business teams.
Key skills for a data scientist CV
Use the skills the job ad asks for, if you really have them. These are the ones employers search for most often:
Pythonscikit-learnPyTorchSQLSparkExperiment designFeature engineeringMLOps (MLflow)
Work experience examples
Start each bullet with a strong verb and end with a result — a number, a time saved or a problem solved.
Data Scientist, Bayline Marketplace
San Francisco, CA · 2022 – Present
- Built a recommendation model that raised click-through rate by 14%.
- Designed the A/B test framework used by 6 product teams.
- Moved model training to MLflow, cutting release time from weeks to days.
Junior Data Scientist, Golden Gate Insurance
Oakland, CA · 2020 – 2022
- Developed a churn model that helped retain 3,000 customers a year.
- Cleaned and documented the main customer dataset for the analytics team.
Tips for writing a data scientist CV
- Show business impact of models (revenue, retention, cost).
- Say whether models reached production.
- Name your stack (Python, SQL, cloud, MLOps tools).
- Link to GitHub or papers if relevant.
- Check how well your CV matches each job ad with Jobryxa's free job match score, then tailor it in one click.
Which template should I use?
This example uses the Data Science template. Any of our 54 templates works — you can switch design at any time without retyping. For online applications, ATS-friendly templates with clear headings are the safest choice.