Made for your work
Email signatures for data scientists
Partners assessing an analysis need to know your team and area of work. Name the organization and analytics or machine learning focus, then share a portfolio only if the underlying material is approved for public use.
Fictional examples. Replace sample credentials and licence numbers with your own verified details.
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What to include
- Data team and organization
- Employer or research affiliation
- Area of work such as analytics or machine learning
- Public portfolio only when the material is cleared for sharing
- Public research or portfolio
- Professional name and a business email address
What to leave out
- Private dataset links
- Images containing your only contact details
- More than one primary call to action
Questions for data scientists
What should data scientists put first?
Lead with your name, then your role. Include data team and organization where it helps recipients identify you.
Which link belongs in a data scientist signature?
Use a link to your public research or portfolio. Label the destination clearly and check it before pasting the signature into your mail client.