Celestar Corporation is seeking a Data Scientist to support INSCOM under the Army Persistent Overhead Geospatial Intelligence (GEOINT) Exploitation Enterprise Support Services (APOGEE). The role involves conducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to enable more informed analytic decisions.
Requirements
- Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
- Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
- Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.)
- Certification in AWS (AI/ML specialty).
- Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.
- Experience working within a DoD or Intelligence Community (IC) operational environment and with DoD/IC geospatial data repositories.
- Familiarity with Army, DoD or IC GEOINT or Geospatial processes, policy and programs.
Responsibilities
- Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
- Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
- creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
- Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
- Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
- Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
- Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering techniques, neural networks, deep learning models, image recognition and algorithm employment or development in support of any of the foregoing.
Other
- MA or MS from an accredited institution of higher learning in a STEM-related discipline AND 5 years of relevant experience; OR BA/BS degree in a STEM-related discipline AND 10 years of relevant experience
- Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.
- Familiarity with agile software development project management frameworks (e.g., Scrum, Kanban, Lean, etc.) to deliver new capability.
- Current/active TS/SCI clearance
- Experience with Microsoft Office tools to deliver reports, graphics and briefings.
