STRONG DATA SCIENCE CONTENT FOR YOUR RESUME

The biggest pain point or challenge I hear when people are writing their resume is that they want concise, crisp, effective content that sounds impactful. But they’re not sure how to write that wonderful content they want.

There is so much to consider when thinking about your content. There are many different traits you want to showcase on your resume that the business values for any given position. There is much more to a successful data science hire than just technical and machine learning ability, and we’ll want to think about how to best position these skills as well. Here are some quick examples of how you can up-level the content on your resume to get you started.

Here we’re going to cover:

  • Starting with a verb
  • Ending with the value you provided


STARTING WITH A VERB

Strong statements start with an action verb. A short list of some verbs that you can try to apply to your experience include:

  • Built
  • Delivered
  • Developed
  • Increased efficiency
  • Created
  • Evaluated
  • Trained

Try to vary your verbs as well. Don’t use the same one over and over again throughout your resume.

So we have some words, let’s look at some real examples from resumes and how the statements improve by starting with a verb.

This first example comes from a math teacher who is learning data science through MOOCs and is planning to make a career change.

Original: “I ran live lessons on Blackboard Collaborate and attended meetings via the computer.”

Updated: “Presented math training virtually, delivered mathematical concepts in a way that students could easily comprehend and learn.”

This shows that she is able to break down material and communicate well. The following would also work:

Updated (another version): “Conducted virtual meetings with expert communication. Provided students the ability to receive one-on-one guidance to keep them on pace in a way that fit their schedule.”

The next example is from a BI professional who is also looking to make a move to data science:

Original: “Participation in Global Transformation Program as Commercial Finance Business Intelligence (BI) expert (Credit and Collections), in the definition of KPIs and Global template Reports. Testing, Business Readiness and Post Go live support for Ecuador implementation (Releases 1, 2 and 3). Support to front office area (sales and distribution).”

Here, our example owned the definition of KPIs and reporting. She also contributed cross-functionally to help make this project a success. Talking about ownership of KPIs, and being a strong contributor cross-functionally sounds stronger when we begin with a verb instead of “participation” (noun).

Updated:  “Owned definition of KPIs and reporting, ensuring accuracy and allowing for self-service of key metrics by stakeholders.”

I’d certainly need to create more bullet points to capture all of the information in the original, but this is an idea of what we’re trying to achieve.


ENDING YOUR STATEMENTS WITH THE RESULT OR VALUE

Let’s look at an opportunity for improvement that was on my resume for a while.

Original: “Built Neural Network models to forecast hourly electric load.”

Cool story, but did I just build it for fun? Or was it useful? Especially in a space where businesses are all too familiar with someone building a fancy model, and then it never gets used for anything, it is of utmost importance that you clearly demonstrate how your work was utilized.

Spell. it. out.

Updated: “Built Neural Network models to forecast hourly electric load. Model output was imperative during extreme weather and was used for capacity planning decisions.”

Now I have a statement that shows not only that I delivered a model, but that model delivered value to the business.

Maybe your previous work experience doesn’t involve building a model. Maybe you built a dashboard. Did that dashboard allow your stakeholders to get valuable information on their own (referred to as self-service)? That’s value. Did the dashboard reduce the amount of time spent on ad-hoc, low value data aggregation so you could focus on higher value initiatives? That’s value, because here you’re increasing efficiency.

In my resume course I go into much deeper detail, but I hope this gives you a great starting point on how to begin creating strong content. Using verbs as your starting point and demonstrating the value your work provided is a great step towards marketing yourself and showcasing your talents. If you’d like to learn more about my resume course you can find that here.


Originally posted on https://datamovesme.com?

Asif LalDin

Analytics | AI | Healthcare Data

5 年

Another great post! Thank you!

Danica Yong

Senior Data Analyst @ Commonwealth Bank

5 年

Thank you Kristen!! Its really helpful :)

Sagar Khurana

Data Analytics Engineer at Maersk

5 年

Great insights Kristen Kehrer. These tips will definitely improve resume contents and help job lookers have a greater impact on the reviewers

Kimberly Tringale

Global Warranty Accounting & Financial Analysis at General Motors

5 年

Great article Kristen. Insightful and useful!

Great points, and very clear with examples, this will be totally useful and value.

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