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

Why Unconventional Businesses Will Find Success in Healthcare: It’s the Data

January 7, 2020

It seems everyone is moving into healthcare. It’s a rapidly growing industry, historically dominated by large, well-embedded companies and organizations, and “pure tech” companies have had difficulty breaking in. That, however, is changing.

Read on...

Data and Social Determinants of Health

December 19, 2019

By Scott Hampel – I think a lot–and I’m not the only one–about how we can improve the ways we pull information from data. Data on its own is inert: just waiting to be understood and then used. And that’s a major challenge for many organizations. Data is often trapped in different applications with no easy or convenient way to extract it.

Read on...

Why Social Determinants Need Analytics for Success

December 10, 2019

Many challenges face healthcare’s underserved. There are issues with food, housing, reliable transportation, steady employment and more. Each contributes to and is one element of social determinants of health (SDH). In communities around the world, public and private organizations are taking steps to address SDH-related issues and challenges that negatively impact healthcare.

Read on...

Healthcare Organizations Recognize Importance of AI for Reporting

November 21, 2019

Healthcare providers continue to recognize the value of using AI in reporting operations throughout the organization. AI has many strengths when applied to the healthcare industry:

Read on...