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Careers in Statistical Software

Careers in Statistical Software. Cheryl Pammer Minitab Inc. cpammer@minitab.com. About Me. Education BSE Mathematics, Truman State University MS Statistics, Penn State PhD Coursework, Penn State Minitab Experience (21 Years)

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Careers in Statistical Software

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  1. Careers in Statistical Software Cheryl Pammer Minitab Inc. cpammer@minitab.com

  2. About Me • Education • BSE Mathematics, Truman State University • MS Statistics, Penn State • PhD Coursework, Penn State • Minitab Experience (21 Years) • Currently User Experience Designer and Technical Training Specialist • Previously Technical Support, Information Development, and Quality Assurance • Other Experience • Biometrics Research at Merck Research Labs • Statistics Instructor at Penn State • Statistical consultant for Vespa Labs and Penn State Department of Food Science

  3. Benefits of Working in Statistical Software • The reach of your work extends far beyond your organization • Great variety in projects • Software companies generally allow great flexibility and nice benefits • You will obtain skills transferable to other industries and jobs

  4. Statisticians at Minitab

  5. Example Problem Problem Customer needs to design an experiment for a process improvement project, but doesn’t know where to start. Customer • Has a quality improvement role in financial, manufacturing, or healthcare industry • May be math-phobic. Greek letters and symbols like < can be intimidating. • Has to do a little data analysis; but will never be a data analyst.

  6. Technical Project Manager • Define problem • Understand customer • Develop solution ideas • Prototype • Obtain feedback • Repeat

  7. User Experience Design • Create the user experience • Design inputs and outputs • Fill in all details • Deliver detailed design document

  8. Statistical R&D • Maintain statistical credibility • Determine statistical details • Should we offer Plackett-Burman designs, classical 2K designs, or definitive screening designs? • Do these designs have enough power? How many replicates should we require? • Which assumptions in the analysis are critical? • What method should we use to fit the model?

  9. Software Engineering, R&D, QA • Software Engineer: Implement design • Software R&D: Optimize the algorithm • Quality Assurance: Verify results are correct and error conditions are handled

  10. Information Development Take highly technical information and make it consumable by a non-technical audience

  11. Product Marketing • Promote products online and print • Provide webinars to get users started with new products

  12. Technical Support Provide phone and email support: • Why is Fit Quadratic unavailable? • Why does this not match my text book? • Why is alpha set at 0.1?

  13. Training and Mentoring • Create relevant examples • Teach concepts • Analyze customer’s data

  14. Business Development and Market Research • Develop new business • Find existing customers that are likely to be interested in new products • Create new product opportunities

  15. Skills Needed • Solid foundation in statistics and data analysis • An interest in developing software solutions • Exceptional communication skills • Creative problem-solving ability • Strong computer skills, understanding of data sources is very helpful

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