Resume Template: Quantitative PhD to Data Science
Nearly every job search involves building a resume. A well-tailored resume can open doors to an amazing job. But creating a resume can be painful, particularly in translating your experiences from an academic CV.
As a PhD looking for a data science role, you may be wondering:
"Are my quantitative capabilities enough to do this role well? If so, how do I convey that via my resume?"
"How can I capture all of my work experience in just one page?"
"What buzzwords will make my PhD experience translate seamlessly for a data science role?"
This template is designed to answer these questions for quantitative PhDs hoping to land a data science role. Leverage this template to make creating your resume simpler and less painful.
Do not view this template as a one-size fits all for getting you any role. Do your due diligence via informational interviews to check fit on data science opportunities, and then leverage this template.
The template provides:
- Straightforward formatting that allows your experience to jump off the page
- Key phrases that will allow you to re-frame your PhD quantitative chops in industry-focused language
- Examples of how to quantify outcomes from your PhD
- Buzzwords honed for making the leap into data science
- Guidance on how to keep your resume to 1 page
Feedback from data science hiring managers on what PhDs should keep an eye towards in their resume:
- "Highlight the impact (the so-what) from your research instead of what you did to be results oriented. Highlight leadership if the ideas were your own. Proactiveness is a valuable trait sought out by hiring managers."
- "Show experience working in teams - there's always a concern that academics will be 'lone wolves'"
- "Describe the types of data you've worked with: for example, a job may want people with survey experience specifically."
The resume template: guides for formatting, keeping it to one page, and writing strong bullets