Presentation on theme: "Participate. Investigate. Educate. “You should be a math major!” Non-Academic Careers in Mathematics."— Presentation transcript:
Participate. Investigate. Educate. “You should be a math major!” Non-Academic Careers in Mathematics
Math majors High school math teachers College & university math faculty (teachers, researchers) What about non-academic careers for math majors?
Raytheon… A defense and aerospace systems company Who works there? Engineers of all sorts General, chemical, computer, electrical, hardware, industrial, logistics, mechanical, reliability, software, systems, test
Raytheon: Not just for engineers Raytheon also hires mathematicians Wanted to hire people with graduate degrees in math, not getting many applicants (Dorff, 2012) https://www.youtube.com/watch?v=Ymlnk_PDwnc Can be used outside the defense industry as well, e.g., by a health care professional to lift a patient from a bed to a wheel chair.
Mathematician Named Best Job for named-best-job-for-2014-by-careercast
Mathematician Named Best Job for Mathematician $101, Tenured University Professor $68, Statistician $75, Actuary $93, Audiologist $69, Dental Hygienist $70, Software Engineer $93, Computer Systems Analyst $79, Occupational Therapist $75, Speech Pathologist $69,870
Mathematician Named Best Job for Mathematician Midlevel income: $101,360 Key factors for ranking Work environment High income Hiring outlook Low stress
Mathematician Named Best Job for 2014 Mathematicians have historically been thought of as academics, but they do so much more. They work in a variety of sectors, both public and private, including energy, transportation, IT, defense, and nonprofits (like MAA!!).
Mathematician Named Best Job for 2014 Example: They figure out if it makes sense for Chevrolet to build a new model of car. Mathematics plays a crucial role in Planning facial reconstructive surgeries. Movie special effects (computer generated images). Speeding up the internet.
Mathematician Named Best Job for Statistician Midlevel income: $75,560 Key factors for ranking Work environment Hiring outlook
Mathematician Named Best Job for Statistician They work in medicine, business, industry, and government (e.g., law, finance, engineering, agriculture, ecology, pharmacology) Experts at Producing trustworthy data Analyzing data to make their meaning clear Drawing practical conclusions from data
Mathematician Named Best Job for Statistician Example: Market research How many people are likely to buy that new iPhone? What are promising locations for a new retail outlet?
Mathematician Named Best Job for Actuary Midlevel income: $93,680 Key factors for ranking Work environment Hiring outlook
Mathematician Named Best Job for Actuary They determine how long something is going to last. About 80% work for insurance companies estimating how long people are going to live or the statistical likelihood that they will get a particular disease.
Mathematician Named Best Job for Actuary Primarily at insurance companies, but increasingly are working in other industries: How long will that bridge last? Is it time to replace that rail line?
Back to Raytheon… “They hire mathematicians” ?? “Talent areas” -- Job search “Mathematics” -- 1&talentArea=55901&c= 1&talentArea=55901&c No listings for “Mathematician” BUT…..
Modeling, Simulation and Analysis (Raytheon) Position Description The Modeling, Simulation and Analysis Center (MSA) within the Systems Design & Performance (SD&P) directorate has the responsibility to provide, develop, and maintain performance and Operations Research simulations for all Raytheon Missiles Systems (RMS) products, support new business initiatives and development and execution of technology roadmaps. Specific responsibilities include … test bed development and analysis, … development of high fidelity performance simulations, …and system performance analysis …
Outside academia, rarely titled “Mathematician” Air traffic controller Politician Animator Foreign exchange trader Stockbroker Urban planner Forensic analyst Market research analyst National security analyst
Math “in the news” Finding the wreckage of the Malaysian plane that disappeared Modeling ocean currents to make predictions Marketing science Put people in a room, show them an advertisement on a screen, track where their eyes are looking. That’s where we want our most important message to be.
Math “in the news” NYC counter terrorism group Ground breaking research using visual analytics for tracking. Smart hearing aids and noise cancelling headphones Signals processing: filtering out noise and amplifying the signal
Hiring outlook Change the Equation, Linda Rosen (May 2, 2014) During the recession , for every qualified STEM professional looking for a job, there were 2 jobs. For every job, there were almost 4 non-STEM people looking for a job. Wall Street LOVES engineers, analytical minds, problem solving skills. Projecting a growth in computing jobs (in any industry or business anywhere) of at least 20% in the next few years.
Hiring outlook “Mathematics and computational science are utilized in almost every discipline in science, engineering, industry, and technology. New application areas are constantly being discovered and established techniques are being applied in new ways and in emerging fields. Consequently, a wide variety of career opportunities are open to people with mathematical talent and training.” (Careers in Applied Mathematics, SIAM)
Hiring outlook 2013 STEM job fair (BYU, Michael Dorff) 15 companies trying to hire math majors Three were in finance (All three have summer internships for students): Goldman Sachs (global investment banking) Capital One (banking and financial analysis)
Hiring outlook 2013 STEM job fair (BYU, Michael Dorff) RBS (global banking and markets) One reason they hire math majors is their attention to detail Interview question: Suppose you have a clock with an hour hand and a minute hand. The time is 1:25. What is the angle between the hands?
Growing fields to consider Systems biology (e.g., human genome) Data mining and analytics (e.g., recommendation engines) Computer animation, digital imaging, special effects (e.g., Pixar Toy Story, Transformers, Avengers)
Growing fields to consider Finance and economics ($$$$$$$$) Ecology and environment (e.g., management of ocean fisheries) Epidemiology (e.g., spread of infection)
Organizations that hire mathematicians Government labs and research offices (Sandia, Los Alamos, Office of Naval Research) Government agencies (e.g., NSA, DOD) Federally funded contractors (e.g., Mitre Corporation, RAND Corporation, Aerospace Corporation)
Organizations that hire mathematicians Engineering research organizations (e.g., AT&T, Exxon, NEC, Schlumberger-Doll, IBM) Computer information and software firms (e.g., Adobe, Google, The MathWorks, Inc., Microsoft, Yahoo) Electronics and computer manufacturers (e.g., Hewlett- Packard, Honeywell, IBM)
Organizations that hire mathematicians Consulting firms (e.g., Daniel H. Wagner Associates, McKinsey and Company) Aerospace and transportation equipment manufacturers (e.g., Boeing, Ford, General Motors, Lockheed Martin) Financial service and investment management firms (e.g., Citibank, Morgan Stanley, Prudential)
Organizations that hire mathematicians Transportation service providers (e.g., FedEx, UPS) Communications services providers (e.g., Clear Channel Communications, Verizon) Chemical or pharmaceutical manufacturers (e.g., DuPont, GlaxoSmithKline, Merck, Pfizer)
Organizations that hire mathematicians Medical device companies (e.g., Baxter Healthcare, Boston Scientific, Medtronic) Producers of petroleum and petroleum products (e.g., Exxon, Shell, Chevron) Consumer products companies (e.g., Procter & Gamble, Mars)
Organizations that hire mathematicians Research institutes (e.g., Institute for Mathematics and Its Applications (IMA), Mathematical Sciences Research Institute (MSRI)) https://www.siam.org/careers/thinking/organizations.php
101 Careers in Mathematics Andrew Sterrett (editor), MAA (publisher) $35 ($28 for MAA members) for print $20 for ebook mathematicshttp://www.maa.org/publications/books/101-careers-in- mathematics Now in 3 rd edition (1996, 2003, 2014)
101 Careers in Mathematics 146 career profiles (not 101!) Appendices – Math Horizons articles “Seven Steps to Finding a Job” (updated in 2013) “Interviewing Tips from the Pros” (updated in 2013) “So You Want to Work in Industry” “Teamwork – The Special Challenge of Industry”
Carriage House Distinguished Lecture Series Features some of the foremost experts within the field of mathematics, known for their ability to make current mathematical ideas accessible to non-specialists. Topics focus on current trends in mathematics and the relationship between mathematics and broader scientific, engineering and technological endeavors.
Carriage House Distinguished Lecture Series distinguished-lecture-series/lecture-videoshttp://www.maa.org/meetings/calendar-events/maa- distinguished-lecture-series/lecture-videos YouTube channel “Ted Talk” versions of recent talks Podcasts with Power Point slides
Cathy O’Neil, Johnson Research Labs Worked hedge fund D.E. Shaw in the middle of the credit crisis. Worked for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. Involved with Occupy Wall Street.
Cathy O’Neil, Johnson Research Labs Works as a Senior Data Scientist at Johnson Research Labs in New York. (Note: It’s pretty traditional for mathematicians to work in research labs, “think tanks.”) Blogs at mathbabe.org
Cathy O’Neil, Johnson Research Labs Recommendation engines Netflix recommends movies you might like based on your previous ratings Google News recommends articles based on your previous reads. Notable difference: Google News doesn’t know if you LIKE the article, but it does know you READ it, whereas with Netflix, you rate the movies.
Cathy O’Neil, Johnson Research Labs Latent factor analysis e.g., sentimentality (chick flicks) Latent topic analysis e.g., DIY series Co-visitation If you and someone else have been reading lots of the same kinds of articles, or listening to lots of the same kinds of music, then you’re probably going to like something ELSE that person likes, but that you haven’t tried.
Karen Saxe, Macalester College Chair and Professor of Mathematics Consults with city governments Just ended a term as AMS Congressional Fellow in Senator Al Franken’s office
Karen Saxe, Macalester College Served on Minnesota Citizens Redistricting Commission, created to draw congressional districts following the 2010 census Carriage House lecture: A Mathematical Adventure through the Census, Reapportionment, and Redistricting. November, 2012.
Richard DeVeaux, Williams College Professor of Statistics Data mining and statistical consultant American Express National Security Agency Office of the Attorney General of Vermont Comptroller's Office of New York state Others
Richard DeVeaux, Williams College Carriage House lecture: Data Mining: Fool's Gold? Or the Mother Lode? April, 2012 Can government agencies really track what you are doing? Do credit card companies know what you are going to purchase before you do? How much of your information do you want available via social networks, and what are they doing with it?
Richard DeVeaux, Williams College Carriage House lecture: Data Mining: Fool's Gold? Or the Mother Lode? April, 2012 Data mining and analytics Just statistics? Yes and no. Process that uses a variety of data analysis tools to discover patterns and relationships in “big data” (e.g., terabytes per hour) that may be used to make valid predictions using models created.
Other mathematicians doing interesting work
Sommer Gentry – Math & Medicine Is a mathematics professor at the U.S. Naval Academy Does operations research at Johns Hopkins University School of Medicine Made national news when she teamed up with her husband (a surgeon) to find a more efficient way to match kidney donations
Eric Murphy – Math & National Defense Has a Ph.D. in complex analysis Works in the Pentagon as an advisor to the Joint Chiefs of Staff on how to best move supplies and troops in and out of foreign countries such as Afghanistan (operations research)
Industry problems vs. academic problems A solution to a problem in industry can be very different from a solution to an academic problem. In industry, a group is usually given a problem with a timeline and is told to come up with the best possible solution within that time frame. They are not necessarily looking for an exact answer but the best possible approximation given the constraints. Once the time period is over, the group will move on to another problem. They don’t have the luxury of exploring nooks and crannies of a problem. Micheal Dorff
Prepares students for industrial careers by engaging them in research problems that come directly from business, industry, and government. Also aims to increase awareness among math faculty and undergraduates about non-academic career options. Students work on a semester-long research problem as part of a class.
Undergraduate research is a high impact practice shown to improve students’ skills in: Problem solving Critical thinking Independent thinking Communication All these are valued by employers of math majors
is first year of project, Year 2 applications will be accepted early in 2015 for summer 2015 (one year commitment) Michael Dorff (BYU), Suzanne Weeks (WPI), Reza Malek-Madani (USNA) research/pic-math-preparation-for-industrial-careers-in- mathematical-sciences
Web resources distinguished-lecture-series/lecture-videoshttp://www.maa.org/meetings/calendar-events/maa- distinguished-lecture-series/lecture-videos research/pic-math-preparation-for-industrial-careers-in- mathematical-scienceshttp://www.maa.org/programs/students/undergraduate- research/pic-math-preparation-for-industrial-careers-in- mathematical-sciences
References Sterrett, A. (Ed.). (2014). 101 Careers in Mathematics (3 rd ed.). Washington, DC: Mathematical Association of America. Careers in Applied Mathematics [brochure]. (2008) Philadelphia, PA: Society for Industrial and Applied Mathematics. Dorff, M. (2012). Non-academic careers, internships, and undergraduate research. Paper presented at the Trends in Undergraduate Research in the Mathematical Sciences conference, Chicago, IL.
References O’Neil, C. (2013). Deciphering recommendation engines. Saxe, K. (2012). A Mathematical Adventure through the Census, Reapportionment, and Redistricting. DeVeaux, R. (2012). Data Mining: Fools Gold? Or the Mother Load? All three podcasts retrieved from distinguished-lecture-series/lecture-videos distinguished-lecture-series/lecture-videos
Questions? Contact Information: Linda Braddy Deputy Executive Director Mathematical Association of America