BIG Jobs Guide: Business, Industry, and Government Careers for Mathematical Scientists, Statisticians, and Operations Researchers (Other Titles in Applied Mathematics) - Softcover

Rachel Levy;Richard Laugesen;Fadil Santosa

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9781611975284: BIG Jobs Guide: Business, Industry, and Government Careers for Mathematical Scientists, Statisticians, and Operations Researchers (Other Titles in Applied Mathematics)

Synopsis

Jobs using mathematics, statistics, and operations research are projected to grow by almost 30% over the next decade. BIG Jobs Guide helps job seekers at every stage of their careers in these fields explore opportunities in business, industry, and government (BIG). Written in a conversational and practical tone, BIG Jobs Guide offers insight on topics such as: What skills can I offer employers? How do I write a high-impact resume? Where can I find a rewarding internship? What kinds of jobs are out there for me? The Guide also offers insights to advisors and mentors on topics such as how departments can help students get BIG jobs and how faculty members and internship mentors can build institutional relationships. Whether you're an undergraduate or graduate student or a job seeker in applied mathematics, statistics, computer science, or operations research, this hands-on book will help you reach your goal, whether landing an internship, getting your first job or transitioning to a new one.

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About the Author

Rachel Levy advocates for mathematical modeling from kindergarten to industry and everyday life. She has served as Professor of Mathematics at Harvey Mudd College, SIAM Vice President for Education, and founded the BIG Math Network. She is the Deputy Executive Director of the MAA. Richard Laugesen created with colleagues at the University of Illinois an internship program serving over 25 students per year. He enjoys working toward a more diverse and inclusive community of mathematical scientists. Fadil Santosa has been engaged in providing in BIG internship and job opportunities for over 20 years at the University of Minnesota through the Minnesota Center for Industrial Mathematics and through the Institute for Mathematics and its Applications.

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