At Booz Allen, we’re committed to applying data science and advanced analytics to not only solve our clients’ toughest challenges, but also to address problems facing society at large. And because data science is about asking the tough questions no one has previously considered, we think about problems like:
- What if we could identify the early warning signs of genocide so policy makers and NGOs could prevent mass atrocities?
- What if we could identify underground human trafficking venues to save thousands of people from slavery?
- What if we could transform how we diagnose heart failure, leading to earlier diagnoses that can save lives and give people more time with those they love?
We take on challenges like these through our Data Science for Social Good (DS4SG) agenda, which inspires our staff and lets them refine and build skills while addressing critical societal issues. And while the Data Science Bowl is an important component, the DS4SG agenda spans multiple pro bono engagements, internal and external events, and trainings.
For example, through a relationship with the U.S. Holocaust Memorial Museum, we worked with the Early Warning Project to create analytical models to detect and prevent state-sponsored mass killings. We also partnered with Polaris to help them map human trafficking networks, and worked with Lollypop Farm, an animal shelter in upstate NY, to derive insights into the animal adoption process.
And the impact isn’t going unnoticed. The Booz Allen Excellence Awards (BEAs) is a yearly ceremony that recognizes teams and people for their extraordinary work (it’s like Booz Allen’s night at the Oscars). And in February, the DS4SG portfolio took home a well-deserved BEA in the “Connections” category, recognizing the team’s important engagements in our community.
The chance to use professional expertise to accomplish something bigger than any of us could do alone—and be recognized for it—is one of the most gratifying things about working at Booz Allen. Check out BoozAllen.com/careers to learn more about how you can use analytics to solve the world’s biggest challenges.
—Written by Lauren Neal