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'Tis the Season
The holidays are here! It seems like we just came back from our summer hiatus here at the Chapter and we're already fast approaching our annual December luncheon. Fortunately, in spite of the early November snow storm we had, the weather has certainly cooperated so far making it pretty easy to get around town to see friends and family.
It was especially fun to watch #GivingTuesday really catch on this year. This day was started in 2012 as an antidote to Black Friday and Cyber Monday to have a day during the holiday season that celebrates and encourages giving back and helping others through philanthropy and service.
While the American Statistical Association may not be top of mind when you think about #GivingTuesday and your own year-end giving, donating to the ASA is a great way to support the continued growth of the practice and profession of statistics. Under the banner of GiveASA - Fund the Future: Support Statistics, the ASA has a variety of ways to make a tax-deductible contribution. Simply go to www.amstat.org to see and click on the "Giving to the ASA" button. You'll see links to "Give Now" for a one-time contribution, as well as links to The Helen Walker and 1839 Societies for larger or planned gifts. There is also information for employer matching if you're company offers such a program.
Best of all, you can direct your donation to the Chicago Chapter, so your giving directly supports our efforts here at home to improve statistical literacy. We've been fortunate here at the CCASA to enjoy growing membership and involvement at our events for the last few years. We're a strong organization that wants to do more. Your support will enable us to create new programs for students and teachers alike right here in Chicagoland that will help inspire and educate the next generation of statisticians!
Thanks, the Board of the Chicago Chapter ASA wishes you a warm, safe, happy, holiday season.
Interesting question: Does that healthy holiday season need to be BPA free? Stats.org takes a look at the seventeen year long argument. The articles are great, but frankly they had me at the title: Anatomy of a Statistical Meltdown.
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December Luncheon
Join us for our December Luncheon. Our speaker will be
Karl W. Broman, Professor, Biostatistics & Medical Informatics, UW-Madison. We look forward to his talk, Interactive Graphics for Genetic Data.
Abstract: The value of interactive graphics for making sense of high-dimensional data has long been appreciated but is still not in routine use. I will describe my efforts to develop interactive graphical tools for genetic data, using JavaScript and D3. (The tools are available as an R package: R/qtlcharts, http://kbroman.org/qtlcharts) I will focus on an expression genetics experiment in the mouse, with gene expression microarray data on each of six tissues, plus high-density genotype data, in each of 500 mice. I argue that in research with such data, precise statistical inference is not so important as data visualization.
Student Showcase!
March 15, 2016 --- 12:00 - 1:30 pm
Are you a student (or do you know a talented group of students) who would like to showcase your work at a Chicago Chapter Luncheon? If so, please complete the form to be entered in our first ever student competition! See our website for more information and an application form.
SAVE THE DATE! (SAVE THE DATA!)
The date has been set. Nope, we are not foolin'; this year's conference will be Friday, April 1, 2016. The topic for this year's conference is REPRODUCIBILITY, and it will be held at Northwestern's Chicago Campus. Stay tuned - plans are underway.
Other Upcoming events you may be interested in:
Registration is now open for the Conference on Statistical Practice! It may just be the right time to think about a vacation - umm, work trip - to San Diego!
This is the 5th annual CSP - a meeting designed to bring together hundreds of applied statisticians and data scientists. The conference is scheduled for February 18-20, 2016.
Click here for more information.
Are you interested in sharing tips on mentoring statisticians?
The American Statistician is developing a special issue on mentoring. Consider submitting a manuscript!
Deadline is December 4, 2015.
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It's not too early to start thinking about JSM2016 CHICAGO!
Invited session proposal deadline has passed, but TOPIC CONTRIBUTED SESSION PROPOSALS are not due until January 14th! See the conference website for more information on deadlines and other key dates!
JSM Chicago is also still looking for SPONSORS. Consider sponsoring a coffee break, the opening mixer, or simply enhance someone's JSM experience. For more information, see the website.
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Congratulations!
Congratulations to our neighbors, Bruce A. Craig at Purdue and Stephen Portnoy at UIUC on being named 2015 AAAS Fellows!
And elsewhere in the world...
The latest News from the World of Statistics is availablehere.
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Senior Statistical Modeler
PayNet: Transforming Small Business Lending
Paynet is looking for a Senior Statistical Modeler to join its Analytics and Development team. This key individual will design and develop cutting-edge predictive models, credit scores, and other information from its proprietary data base that are changing how small business loans are originated and how lenders manage the risks in their portfolios.
About Paynet
Paynet ( www.paynetonline.com) was established fifteen years ago and is growing at very high double digit growth rates. The Analytics and Development team are the "secret sauce" that is driving company growth and the core of the firm's innovation. PayNet employs highly intelligent people who are driven to make an impact. Those who have ambition combined with a strong vision enjoy their careers at PayNet. Employees are highly entrepreneurial and are rewarded for their dedication. Employees enjoy flexibility and the opportunity to learn. They have the ability to truly impact customers through the creation of new core products and services.
Responsibilities
- Designing and developing cutting-edge predictive models and credit scores for the commercial lending industry.
- Analyzing and validating model performance on lender portfolios and providing client consultation.
- Performing score monitoring and model maintenance.
- Projects to analyze market trends and lender's relative portfolio performance as part of an effort to improve their business both tactically and strategically.
- Supporting sales and marketing by providing analytical expertise.
Preferred Credentials
- Bachelor's degree with material coursework in statistics, mathematics, engineering, computer science, or related field. A master's degree is preferred, but not required.
- Three to ten years of work experience building and analyzing statistical models in SAS, R, SPSS, Xeno or similar software, and writing SQL queries (in MS SQL, Oracle or MySQL). Expertise in at least one model building software and in SQL are required.
- A high level of mathematical ability.
- Fluent English and strong verbal and written communications skills.
- Authorization to work in the United States, without any corporate sponsorship.
- Macroeconomic modeling experience.
- Excel pivot tables and macros.
- Industry experience in credit/risk or other financial services is ideal. Other industry sectors will be considered.
To Apply
Please send resume and brief introductory email to Bill DeMoss: bdemoss@jobplex.com
JobPlex is a search firm that focuses on finding emerging leaders for professional level roles across multiple industry sectors. PayNet is a client served by JobPlex. For more information on JobPlex, please go to the firm's website.
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Analyst, Data Sciences
Leo Burnett Personifi is looking to fill an Analyst position within our Data Science practice. We are looking for individuals who can leverage their in-depth knowledge of statistics to solve complex business issues through
predictive modeling.
About Leo Burnett Personifi
Leo Burnett Personifi works in a highly collaboratively fashion with both Clients Clients as well as other Agency counterparts (e.g., Account Management, Planning, Creative, Production) to seamlessly integrate CRM marketing communication into all aspects of the marketing plan. Our role is to effectively harness the vast information already on-hand in Client customer files and databases to shape and deliver individualized customer communication. Vital to our efforts is the compilation and assessment of results that impact future communications.
Responsibilities
The responsibilities of an Analyst, Data Sciences are focused on predictive and/or forecast model development, data analytics, and consumer segmentation. Specific responsibilities include:
- Develop predictive models that increase the efficiency and effectiveness of Client database-driven CRM initiatives.
- Perform data preparation, model design, and model maintenance.
- Plan, execute, and effectively communicate the results of strategic database analyses in support of Client business (e.g., analyze impact of marketing communications on market share, program response analysis).
Requirements
- Graduate (MS, PhD) degree in statistics or related quantitative field (e.g. economics, social sciences, engineering, mathematics, computer science).
- In-depth knowledge of statistical tools (e.g., SAS, R, etc.) and techniques (linear and logistic regression, time series analysis, machine learning, etc.) used for modeling, segmentation, forecasting, data mining and in-depth data analysis.
- Proficient with programming tools for data extraction and manipulation (SQL, Python, etc.)
- Professional experience in modeling, segmentation, and analytics a plus.
- Strong communication and interpersonal skills a must.
- Ability to work effectively and efficiently as part of a team.
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If you are interested in volunteering, or are interested in serving on the board in future years, please contact us! Also, if you have news or events that you would like to share, feel free to e-mail us at:Chicagochapterasa@gmail.com
If you are interested in speaking at a luncheon, contact us here. |
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