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.
Get our take on industry trends
Why Social Determinants Need Analytics for Success
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
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...Why It’s Time for Healthcare to Move Toward AI Reporting
Business intelligence (BI) was a dramatic and significant step forward in healthcare industry reporting and a natural transition to artificial intelligence (AI) enabled real-time insights.
Read on...Why Healthcare Should “Double-Down” on Exploring AI-powered BI for Reporting
Many areas in healthcare rely not only on the collection of data but, importantly, the ability to decipher and act upon it. In that intersection, reporting was born.
Read on...