Data science is currently one of the most sought-after fields for professional recruiting and yet one of the hardest to define. What is data science, and how can businesses use it most effectively? The fact is, nearly no one agrees on what data science is – the field is still too new and too diverse – we must first make some sense of the field as a whole. I will discuss the overall data science process and survey the full data science landscape which can be divided into four primary types of data science practitioners: Business Intelligence, Deep Technical, Broad Technical, and Well-Rounded. Each has a different vision of the field, a different set of skill emphases, and a different place in the data science ecosystem and in an effective data science team. Once an organization understands this landscape and the varied skill sets that different kinds of data scientists bring to bear, they can bring data science more effectively into their work. This may involve developing a data science team within the organization, adding data scientists to the IT and business analysis teams, by consulting with external data scientists, or by developing hybrid data scientists in-house from business analysts and other professionals by training them in data science methods and skills. Takeaways include what to look for in data science hires and teammates and how to navigate the tradeoffs effectively when developing or enhancing data science efforts.
Professor and Director of the Master of Data Science Program
Illinois Institute of Technology
A creative and dynamic researcher, consultant, maker, and mentor with over 20 years of experience in artificial intelligence and machine learning research and practice, Argamon is a professor of computer science and founded and directs the Master of Data Science program at Illinois Institute of Technology. He is an internationally renowned expert on text analytics and forensic linguistics, and a leader in data science education. He has developed text analytics methods for areas as diverse as to intelligence analysis, forensic linguistics, biomedical informatics, and humanities scholarship, and published over 100 peer-reviewed scientific articles as well as two books. In his consulting work he helps organizations design and implement effective analytics strategies, as well as aiding criminal and civil investigations.