A Day in the Life of a Data Scientist

The Harvard Business Review predicted a while back that a “data scientist” would be the “it” job of the 21st century. However, a lesser known side of data scientists is that their job can be less than glamorous. While the data scientist is expected to be a “unicorn” and do it all, there are major issues and roadblocks that arise when tackling any new data frontier.

Last month, our own predictive analytics scientist, Virginia Long, sat down with Katherine Noyes of CIO for her article: “Why being a data scientist ‘feels like being a magician.” Virginia shared what it’s really like being a data scientist, elaborating on her typical day, her favorite aspect of working with data, common roadblocks she encounters – and dispelled some common myths about her profession.

In the article, Virginia discussed her day-to-day responsibilities:

  • Creating educational materials to explain how various data science techniques work
  • Painting the big picture for companies and clients as to what their data means
  • Managing the expectation of the data scientist, who is often expected to be a “unicorn”

Interested in learning more about the role and responsibilities of data scientists? Check out the full-piece on CIO here. If you’d like to learn how you can utilize data analytics to solve your most pressing issues, check out our solutions here

Posted in

MedeAnalytics

MedeAnalytics is a leader in healthcare analytics, providing innovative solutions that enable measurable impact for healthcare payers and providers. With the most advanced data orchestration in healthcare, payers and providers count on us to deliver actionable insights that improve financial, operational, and clinical outcomes. To date, we’ve helped uncover millions of dollars in savings annually.

Leave a Comment





Get our take on industry trends

Data Science into your Organization

Run: Bringing Data Science into your Organization

August 30, 2021

In this three-part series, we’ve been detailing a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl and Part Two: Walk, we discussed how to get started from scratch and start building out a dedicated data science program. Today, we’ll dive into the third and final phase to see how to grow quality, centralize governance, incorporate user feedback, and more.

Read on...
Data Science into your Organization part 2

Walk: Bringing Data Science into your Organization

August 23, 2021

In this three-part series, we’re exploring a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl, we discussed how to get started from scratch. Today in Part Two: Walk, we’ll address issues that may emerge and how to overcome them, how to build out a dedicated data science team, and more.

Read on...
Data Science into your Organization part 3

Crawl: Bringing Data Science into your Organization

August 16, 2021

Throughout my career as a data scientist, I’ve been lucky enough to have a few opportunities to build data science…

Read on...
How Ballad Health achieved enterprise-wide strategy alignment

Success Story: How Ballard Health achieved enterprise-wide strategy alignment

July 26, 2021

A key to success for any organization is finding a way to unite departments and individuals around common objectives and…

Read on...