Although the acquisition and application of statistical skills is a necessary step in achieving success as a professional statistician, it is not sufficient. One also must develop the ability to influence customers, colleagues, managers, and subordinates. This can be especially problematic when those you are trying to influence are not statistically savvy and you must convince them of the merits of a particular statistical approach.
career
Our Careers in Statistics: A Most Enjoyable Ride
Jonas and Susan Ellenberg talk about their journey into statistics and the stops they made along the way.
ASA’s Career Success Factors Initiative Presents
ASA’s Career Success Factors initiative is sponsoring the half-day course in conjunction with JSM 2013. It will cover topics such as slide preparation, crafting your argument, oral presentations, and communicating statistical ideas.
Not Everything That Counts Can Be Counted
Jean Adams discusses finding your passion and turning it into a long and happy career.
My Climb Up the Corporate Ladder: Lessons Learned
Do you remember being asked what you wanted to be when you grew up? Allison Florance’s answers varied from veterinarian to nurse to civil engineer. Here, she talks about the lessons she’s learned on the way to becoming a statistician.
Five Junior Faculty Win NSF CAREER Award
Five assistant professors in the statistics program of the Stewart School of Industrial and Systems Engineering at Georgia Tech have earned the National Science Foundation CAREER Award throughout the last four years.
A Look Back and Forward
The Biopharmaceutical Section made considerable progress last year on many of its projects. Outgoing chair, Anna Nevius, discusses the section’s successess and plans for the future.
Statistics Teachers Needed in Industrial Settings
It is widely assumed that you need a PhD in statistics to teach applied statistics in an industrial setting. However, many teaching jobs in industrial settings require only a master’s degree in statistics. A career as a statistical instructor can be rewarding, as you continually learn new statistical methods and obtain personal satisfaction knowing you are helping professionals solve problems.