No doubt about it: data science is the hot job in GovCon. But what does it take to break into this incredibly competitive and often opaque field?
Join us at our NEXT Talks on Oct 16th, 2019 and meet our data science team, who—in different stages of their careers—successfully navigated the data science maze and now offer firsthand advice, tips, and insight on how to get started in data science. We’ll take an in-depth look at the field, the challenges you’ll face, and the questions and skills you need to bring to it.
WHO SHOULD ATTEND: Anyone who wants to turn their passion for data, technology, analytics, and innovation into a data science or data engineering career (especially in the Defense and Intelligence Communities). And if you’ve already got a foothold in data science, this is a great opportunity to network and exchange ideas with your peers.
WHAT TO EXPECT: Insightful, engaging conversation in a fun, casual atmosphere. We’ll start with a free-form panel discussion, followed by audience Q&A. Our NEXT Talks also feature technical breakout sessions presented by our Data Science team on real-world examples of how we apply AI/Machine Learning in the National Security community.
WHAT YOU’LL WALK AWAY WITH:
- Resources to get you started
- Knowledge of how AI/ML is being applied in the National Security space
- Inspiration and community!
For more information, contact Brianna Lowe / firstname.lastname@example.org
This is a free event! Light hors d’oeuvres / refreshments (and adult beverages…bring your ID) will be served throughout the NEXT Talks.
Event Parking:Parking is available at the HALL Arts Garage. You will receive a parking validation voucher at the event.
5:00pm – 5:20pm: Meet & Greet (1st floor)
5:20pm – 6:20pm: Panel Discussion / Audience Q and A
You’ll learn about NT Concepts, the projects we work on, and how we use agile AI and our Machine Learning Lifecycle to rapidly deliver mission success. Our team will discuss their personal journeys into data science, and share their day-to-day experiences applying advanced analytical techniques and technologies to our nation’s hardest data challenges.
6:20pm – 6:30pm: Break (17th floor)
6:30pm – 6:55pm: Deep Learning for Object Identification in Imagery (Stefani Rangbar)
6:30pm – 6:55pm: Data Engineering 101 (Zach Mostowsky)
7:00pm – 7:25pm: The Data Science Journey (Debra Nash)
7:00pm – 7:25pm: Predictive Maintenance of Machinery and Equipment Using Machine Learning (Mike Evanoff)
7:30pm – 8:00pm: Network with our Data Science and Talent Teams