Data Scientist (Government)
- Enon, OH
AT&T Global Public Sector is a trusted provider of secure, IP enabled, cloud-based, network solutions and professional services to the Department of Defense. We are dedicated to recruiting, developing and empowering a diverse, high-performing workforce that is passionate about what they do, committed to our shared values and dedicated to our customers' mission.
The DoD and USAF have initiated the Joint All Domain Command and Control (JADC2) and the Advanced Battle Management System (ABMS) programs to deliver capabilities to enable network centric operations. AT&T GSI will develop concept papers, proposals, prototypes to compete for funding. AT&T GSI will also execute task orders awarded and integrate with other industry partners to rapidly develop state-of-the-art solutions for DoD.
AT&T GSI has an opening for a Data Scientist to support JADC2/ABMS concept and capability development. Position will also assist with network planning for JADC2/ABMS related events and execution of network related task orders. AT&T GSI will compete to develop and field networks for JADC2/ABMS programs. Design cloud-based data repositories across domains that are discoverable, enabling publish subscribe approaches servicing various consumers across the DoD. These repositories contain data that consists of structured and unstructured data and where possible, this data will be meta tagged for further analytics and as well as fusion purposes. Propose machine learning and further enhance the artificial intelligence (AI) algorithms to provide previously unrealized military utility in decision aides.
- Performs technical sales support as the Data Scientist for the ABMS program team.
- Authors concept papers and technical proposals in response to JADC2/ABMS acquisition requests.
- Develops solutions for complex data sets across multiple security levels.
- Participates in JADC2/ABMS related planning activities. Proposes data integration solutions for lead DoD planners and executes upon approval.
- Collaborates within AT&T GSI ABMS team to create unique state of the art solutions across ABMS developmental categories.
- Collaborates within AT&T to translate and deliver commercial solutions to meet DoD use case demands.
- Coordinates within AT&T to evolve commercial solutions to meet unique DoD requirements.
- Collaborates with industry partners to broaden AT&T reach and, when necessary, leverage non-AT&T solutions to deliver the best available solutions for DoD.
- Designs and develops methods, processes, and systems to consolidate and analyze data, both structured and unstructured, and its sources, including big data.
- Develops and uses advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets.
- Models complex DoD problems and is familiar with natural language processing, machine learning, predictive modeling, statistical analysis and hypothesis testing. Works with cross-discipline teams to ensure connectivity between various databases and systems.
- Continual process improvement activities include data, processes, interfaces, tools and technology insertion.
- Supports defining specific process improvement projects, identifies meaningful insights, interprets and communicates findings and makes recommendations including process improvement opportunities.
- May develop information tools, algorithms, dashboards, and queries to monitor and improve business performance.
- Maintains awareness of emerging analytics and big-data technologies.
- Support ABMS program manager with other duties, as required.
TS/SCI eligible (#topsecret)
- Requires BS and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
- Experience with data visualisation tools, such as D3.js, GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
- Good applied statistics skills, such as distributions, statistical testing, regression.
- Good scripting and programming skills
- Ability to work independently to achieve day-to-day objectives with significant impact on operational results or project deliverables.
- Record of leading teams to develop technical solutions requiring collaboration with internal experts, deep analyses and understanding of impact on end-product/solution.
- Strong written and verbal communication skills.
- Previous experience with Department Of Defense innovation initiatives and organizations (DARPA/AFRL/AFWERX/KESSEL RUN).
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