Data Scientist at Peraton in Washington, DC

Peraton Overview Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential... government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our employees do the cant be done, solving the most daunting challenges facing our customers. Responsibilities The contractor shall support customer project initiatives by applying and utilizing new or established qualitative and quantitative methods to analyze and resolve analytical issues. The contractor shall research opportunities for data acquisition and new uses for existing data as well as collaborate with respective government points of contact (POC) to perform exploratory and targeted data analyses, test working hypotheses; prepare, mine, and analyze structured, semi-structured, and unstructured data; and identify trends and patterns. The contractor shall design and develop new, scalable tools, dashboards, and visualizations to enable users to consume and understand data more effectively and efficiently. The contractor shall identify data needs and proper methods for data gathering, extraction, integration, preparation, quality, and governance from internal and external sources in context of meeting customer expectations. The contractor shall employ a variety of programming languages, analytic techniques, and tools to develop statistical algorithms and models, automate data conditioning and data analysis, support machine learning, and generate visualizations for use in predictive and prescriptive modeling and proof of concept initiatives. The contractor shall create positive customer relationships in order to gather input and feedback for addressing analytical issues and advanced reporting needs. The contractor shall deliver and communicate status and results through reports, presentations, and other means as designated by government POCs and in accordance with the deliverables listed in Section 3.2. The contractor shall collaborate with other analytic professionals to continuously build a broader and deeper data science and analytics capability relevant to customer initiatives and subordinate commands' mission areas. The Contractor may accompany customer personnel to community GEOINT related conferences and meetings to gain insight and understanding of the latest military and civil sector GEOINT techniques and technologies under development. As required, the contractor also may travel to ashore and afloat naval and joint service commands, GEOINT-related trade shows and conferences to become familiar with special projects, exercises, and analytic methods. The contractor is not permitted to represent the customer to the community during any conference or meeting. If customer personnel are not available, the contractor shall act only in an advisory role on GEOINT technologies, techniques, applications, and methodologies and gather facts during the meeting or conference. Qualifications Minimum Qualifications: TS/SCI Clearance Bachelor's degree from an accredited institution in a quantitative or technical field of study, such as: Statistics, Mathematics, Computer Science, Physical Science, or Geographic Information Systems (GIS) Three (3) years of practical work experience integrating data mining, conditioning, and analysis that includes the use of current data analysis software and methods including two or more (exact, similar, or equivalent software) of the following: ESRI ArcGIS MATLAB SAS SPSS Statistics Hive/Hadoop Three (3) years of practical experience in computer programming using one or more (exact, similar, or equivalent software) of the following: Python JavaScript Interactive Data Language (IDL) R C+ One (1) year practical work experience with geospatial data and/or imagery data One (1) year practical work experience with database management systems, database structures and query tools using one or more (exact, similar, or equivalent software) of the following: GeoDB SQL MS Access MS Excel Two years of experience writing technical analysis reports Demonstrated problem-solving skills Demonstrated presentation skills, including but not limited to presenting at professional or academic conferences Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications