"Career Perspectives in Math" Lecture by Bill Anderson Materials
On Thursday, November 14th, Bill Anderson presented the 2024 "Career Perspectives in Math" Lecture on "Becoming a Full Stack Data Scientist To Increase Your Chances of Job Acquisition and Career Success."
Click here to view Bill's presentation materials with embedded links!
Original "Career Perspectives in Math" Lecture by Bill Anderson Information
Details: In 2012, Harvard Business Review declared Data Scientist as the sexiest job of the 21st Century. As the popularity was growing, people flocked to the profession from many other disciplines to ride the data science wave. This wave created a flood of partially skilled data scientists that have now saturated the market. The result - corporations hiring data scientists are now much more discerning than they were 5-10 years ago, and so being a well rounded and demonstrated data scientist will be key to not only getting a job, but to a successful career. I will talk to you a bit more about what a "Full Stack Data Scientist" is, and how to construct your class work, your internship, your capstone, and other activities outside of class to become and demonstrate yourself as a Full Stack Data Scientist.
Biography: Bill graduated from UNL in 1990, with a Bachelors of Science in Secondary Education, with endorsements in Political Science and Communication Studies. That's right - Bill started as a Speech teacher! After a life/skills pivot, Bill has now been in the technology industry for 30 years, with most of that career focused on designing, developing, and delivering commercial software products. For the past 12 years, Bill has been involved in all things data - from data engineering, to data analytics, to data science including operationalizing AI at very large scale. This includes 3 years as the Lead Program Manager for 60 data scientists in the Windows organization at Microsoft, 3 years managing a small data science team at Microsoft, and a year as the Lead Program Manager for Responsible AI at United Health Group. Bill wants to take what he has seen and learned in this broad experience and help us understand what it will take to get into and succeed in that AI world moving forward.
Please visit https://math.unl.edu/math-club/career to learn more about the Career Perspectives in Mathematics lecture series!