Data ScientistAltamira delivers a variety of analytic and engineering capabilities to the US National Security community, but the tech culture and the caliber of the individuals that bring these capabilities to fruition are what really set us apart. Our Dayton, OH office is highly focused on the Space-based mission set with a heavy emphasis on sensor exploitation and analysis; Tampa, FL focuses on ‘art-of-the-possible’ analytics of all kinds with an emphasis on graph technologies, NLP, and wrangling complex data sets; and all forces converge at our headquarters in the Northern Virginia/Washington DC area where we host our tech events and support engineering and analytic missions across several IC and DOD agencies. While our work occurs in different states and different mission domains, we’ve got analytics at the heart of every operation and genuine curiosity for new methods, techniques, and solutions. Our specialties are data science and analytics, data engineering, software engineering, and end-to-end analytic solutions architecture. We’ve also got some awesome benefits like the Altamira Healthy Living program, with ongoing competitions and a flexible spending stipend for health and wellness-related items. Location(s): Tampa, FLThe Role: An Altamira Data Scientist is an integral member of an analytic and engineering team. The data scientist is expected to participate in the design, development, and implementation of novel analytics to address a variety of customer problem sets. We are highly interested in individuals who can craft narratives around their analytics, producing highly visual representations of both the output and the innerworkings of analytic methods. The Data Scientist should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques. This individual will also have a firm grasp of the environments in which the analytics must be deployed, whether stand-alone, within a broader software architecture, in the cloud, etc. While a heavy programming background is not required, sufficient technical knowledge to implement the analytics is highly desired.
Your skills:
Build AI models using machine learning algorithms and deep learning neural networks to integrate with Command Common Operating Picture data repository to enable logisticians decision-making in near real time.
Provide visual displays of advanced analytic data to a geographic model/map and or dashboard(s) and support free text queries capabilities.
Have a sound understanding of programming, software engineering and data science to develop specialized AI models that correlate with various logistics datasets to meet desired objectives.
Build predictive models using vast volumes of data and have in-depth knowledge of machine learning algorithms, deep learning algorithms and frameworks.
Work with the Command Staff to ensure AI/ML workflows include Cyber, Knowledge and Information Management disciplines to enable the Decision-Making Process.
Build data ingestion and data transformation infrastructure to interface with the data repository application program interfaces (API) and build AI/ML models to enterprise standards for data sharing with joint enterprise systems.
Your quals:
TS/SCI clearance
Master’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience. (Experience can serve as a substitute for education)
8+ years of industry experience in predictive modeling, data science, and analysis.
Significant coursework or professional experience in machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics, or similar analytic domain
Experience delivering software or technical solutions to DOD or IC customers, USAF, JAIC, NRO, NGA, or other intelligence organizations strongly desired
Familiarity with data visualization software, tools, and techniques is desired
