Data Science

Here’s The Right Way To Build A Resume & Make A Career In Data Science

Apoorva Komarraju

Data science is a skill that is in high demand in the tech world. Making a transition to a data science career or getting a data science job as a fresher is a challenging process as everyone wants to get a data science certification and seal their careers. But is that what employers are looking for?

The Right Resume Will Attract The Right Connections

Employers and HRs spend all their time evaluating, making data-science-driven decisions for hiring the right candidates who can work on data science projects. According to employers, when people fail to communicate clearly with the HRs, they circulate data science certifications.

According to experts, public display of data science certifications on social media doesn't attract quality people. This opinion has formed because people prioritize spending time on social media, beautifying their display rather than researching on datasets and gaining more knowledge of this dynamic field. At the same time, it is advisable to highlight how a certain course helped you build the knowledge foundation of machine learning skills or how some books have made you better at writing codes and programs.

Spending time knowing about the various facets of the field to grow intellectually and doing things to support your data science career growth will make your resume stronger.

Hard work Pays Off

Analyze your skills and understand how you can make yourself useful in this field. If you are good at statistics, make it clear how it can be of help to solve business problems. "Data scientists have one goal and that is to solve business problems. It's not about how technically difficult the challenge is, it's not about how cool the solution is, or the tools that you're using. It's about whether you were able to solve business problems", says Pramp CEO Rafael Zikavashvili.

Speaking about quality resources that you bring to the organization will increase your hiring chances.

Communication Is Key

A data scientist's job is just not about numbers, it also requires the person to communicate those insights in a way to guide the team towards solving business problems. Recruiters are looking for people who not only have the technical skills but also have the communicative skills to understand the big picture. One way you can demonstrate this skill in your interview is by highlighting the projects you've finished via teamwork and framing your achievements through business metrics.

Achievements Matter

"If you want to take your resume from good to great, make sure you list measurable achievements", says Ewa Zakrzewska, a recruiter at Zety.com.

For a great data science resume, mention if you have worked with unstructured data or data that required you to make spreadsheets and data tables yourself. This experience is impressive because it shows you are capable of working with messy data and not just working with already-made data sets.

HR professionals have developed a data-driven approach for recruitments and they know they have to deal with a big pool of candidates. To land a job as a data scientist, follow the said tips and build a strong resume with noteworthy things the employers are looking for.

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