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

COVID-19 and the Financial Storm Ahead for Providers

May 14, 2020

Across the country, healthcare organizations are seeing 40%-80% declines in monthly charges with some of the most profitable services lines only seeing 20% of their normal monthly volumes during the pandemic.

Read on...

3 Steps Any Healthcare Organization Can Take to Improve Enterprise Analytics

February 24, 2020

By Kristin Weir When it comes down to the most basic purpose of why organizations use analytics, it’s simple: they…

Read on...

Why Predictive Analytics is the Answer to Healthcare’s Big Data Problem

February 7, 2020

By Scott Hampel Making improvements in healthcare data analytics has the potential to lead to significant cost savings and improved…

Read on...

Unfamiliar Healthcare Players, Interoperability and Social Determinants Round Out 2020 Megatrends

January 23, 2020

By Scott Hampel, president of MedeAnaltyics We conclude our 2020 Megatrends with an exploration of new players entering healthcare, the…

Read on...