W&M Featured Events
[PAST EVENT] Building Data - Driven Solutions for Real-World Problems
Location
Cohen Career Center, Presentation Room A&B180 Stadium Dr
Williamsburg, VA 23185Map this location
Advances in tech mean there's more access to data than ever before--and this data can provide unparalleled insights. Data scientists are the experts who are capable of tapping into data and making sense of it--ultimately revealing answers to all kinds of questions.
Booz Allen Hamilton is a professional services firm with focuses in analytics, cyber, consulting, engineering, and digital solutions. As the largest provider of data science services to the federal government, we work to create cutting-edge analytics that transform the way data are used, offering previously untapped insight to some of the country's most influential decision-makers.
We tackle some of the country's most significant problems, whether it's climate change with the Army Corps of Engineers or cybersecurity with experts in the intelligence community.
Booz Allen representatives will be on campus to meet with students and chat about our careers in data science and machine learning. Topics will include:
What is data science?
What are the key skill sets for becoming a data scientist?
What is it like to work as a data scientist with the federal government?
What methods / techniques do Booz Allen data science teams use to drive insight for our clients?
What are some real-world solutions Booz Allen has built using data science and machine learning techniques?
Attire is casual and food will be provided. Please bring an up-to-date versions of your resume and questions on both the field of data science and Booz Allen.
We look forward to seeing you there!
If you need an accommodation related to a disability, please contact our office no later than two weeks before the event date. Accommodation requests received within a week of the event will be provided to the extent possible.
Sponsored by: Office of Career Development & Professional Engagement
Contact
Matthew Barrett; [[mbarrett01]]