Tagged: statistics

Women in analytics: Leading the Way in Business Intelligence

I was recently interviewed by Software Advice for an article about women in STEM fields and in this case specifically about business intelligence. As they stated in the article it is difficult to break into a predominately male field but don’t let that discourage you! There are many women who have done just that and very successfully I might add. So, thanks to Alan S. Horowitz and his crew for the honor of being included in their blog  4 Women Leading the Way in Business Intelligence Excerpt -> “Though clearly hard to break into, technology can be a highly attractive field for women, as it provides a much greater opportunity to stand out than other industries” From Irene Lewis at Software Advice “Your insight into the industry and your expertise in navigating it is inspiring to men and women alike. And thank you for tweeting it out!” Thanks Software Advice and Best Wishes in all you do! Since not every detail was specific, I wanted to add a bit about myself for those that would like to know more, after reading the above article of course ;o) Being a single mother of two sons was a challenge but no one has ever accused me of backing down from a challenge, eager to learn and grow, I entered the University of Tennessee in the spring of 1993. I worked in the Developmental Math Lab my entire tenure with the University of Tennessee, assisting students with all levels of mathematics. Upon graduating with a double major, Applied Mathematics and Economics in 1998, I moved to the Chicago area to start my career in analytics. During the past 16 years, I have worked with many Fortune 100 and 500 companies including but not limited to, Discover Financial Services, J&J, Hershey, Kraft, Kellogg’s, SCJ, McNeil and Firestone, Tandus Worldwide, Terenine and even thought they are not Fortune  companies, both the University of Chicago and the University of Tennessee. Acting as a liaison between the IT department and the Executive staff, I am able to take huge complicated databases, decipher business needs and come back with intelligence that quantifies spending, profit and trends. Being called a data nerd is a badge of courage for this curious Mathematician/Economist because knowledge is power and companies are now acknowledging its importance. Data, what can it do for you today? Specialties: * Comprehensive Customer Satisfaction and Retention Analysis, * Brand Research & Competitive Analysis, * Employee Retention Research, * Survey Creation & Analysis (New Product and Branding), * Database creation and mining, * Social Media & Coupon, Incentive Promotions, * Project Management (Scrum Certified)   * Social Media Marketing * Statistical concepts to solve business challenges. * Advanced knowledge of data warehousing. * Target Audience Analysis * Predictive modeling, forecasting, and data mining. * Develop data strategy, analysis, objectives and business requirements   So, as you see, a woman can succeed in a “MAN’S” world, good luck ladies! If you’d like to see more check me out on LinkedIn at

You don’t know how to hire a REAL Data Scientist!

Einstein2

I was recently contacted by a recruiter concerning a Director of Analytics position at a Private University in my home state; they wanted to know if I could recommend someone for the position since I had a background in Education and Data Science. I dug through my contacts and supplied them with 4 names of experts that would be more than qualified for what they were looking for, all of them Data Scientist with at least 15 years of experience. Well, finally I heard from the last of those I had recommended, and each, for various reasons, were disqualified for the position, HUH?? I called the recruiter and asked what was going on, she said…. “her client, was looking for someone with more experience in fundraising” so, let me get this right….. you disqualified some of the greatest minds in Data Science because of lack of fundraising experience, really.

This is not the first time I have seen “truly amazing” people overlooked for a position due to “them” NOT having some little missing detail on their resume. It makes me question the people doing the hiring; do they even know what they want? Can they recognize an experience candidate or are they going on gut feelings and preconceptions of what “they” think the position needs.

Would you recognize a true Data Scientist if you met one? If you wanted to add data science or analytics to your University or Corporation where would you go, to a head hunter or a recruiter? Probably, but what makes you think they are qualified to find you the best Data Scientist out there when most of them are still trying to figure out what Data Science is!

If you really want to hire the best, I recommend you research the position first, how can you find the perfect candidate if you don’t? Buzzword like “Data Science” and “Big Data,” are added to everyone’s resume in analytics, this DOES NOT make them qualified, stop searching for the obvious and look for words that REAL Data Scientist would use – probability, models, machine learning, statistics, data engineering, pattern recognition, learning, visualization, data warehousing, are some examples.

In conclusion of my rant, I’d like to make one point…… If you really want to hire an expert in Data Science don’t go for the one with the biggest blog or the one that writes the most books, honestly a great data person doesn’t have the time or desire to write blogs and books, we’d rather be doing what we love; playing with data. If I had my choice on hiring the best, I would check out LinkedIn, find all the candidates I wanted and then call and verify reference before I even set up the first interview. Too many people out there pad and just flat out lie about their skills so verify everything! Sometimes I wonder if anyone follows up on anything anymore! A 10 minute phone call will stop you from figuring out how to get rid of someone that sucks, believe me, I see it happen frequently. There are some truly gifted individuals out there, don’t overlook them because you are mesmerized by your own agenda.

 

Data Science ROCKS!