Data Scientist/Engineer with Security Clearance

OVERVIEW: We are seeking for a talented Data Scientist/Data Engineer who is passionate about supporting National Security missions. The ideal candidate appreciates partnering with our customer and a group of intelligence and cybersecurity experts to analyze and integrate data sources and produce custom analytics. GENERAL DUTIES: Engages and collaborates with mission partners to determine new ways to improve data discoverability, search quality, and analytic capabilities and visualization. Mines complex datasets, evaluates its utility for mission requirements, resolves data sharing issues, and enables system/data collaboration. Interprets data studies and product reviews concerning new and existing data sources. Identifies data conversion options, data formats, data types and data extensions compatible with specific structured/unstructured data analytics. Develops data triage tradecraft to include optimizing data tagging, data parsing, and data interconnection across domains. Develops prototypes, proof of concepts, algorithms, predictive models and custom analytics focused on mission requirements. Recommends appropriate resources and processes to address data requirements, data standards, and implementation of data centric systems and modeling/algorithm use and creation REQUIRED QUALIFICATIONS: SCI cleared within last 2 years. Bachelor's Degree in a technical field Experience and knowledge: Three or more years of experience in a Data Science, Data Engineering, or Data Analysis role Experience with program languages such as Python. Experience analyzing and automating data formats, data pipelines, extract-transform-load (ETL), and data warehouses/data lakes. Experience with cloud-based data analysis tools. DESIRED QUALIFICATIONS: Polygraph within last 5 years Bachelor's degree or higher in Computer Science, Information Systems, Data Science or a related field. Certification: CySA+ or equivalent; AWS certification Experience and Knowledge: Five or more years of experience in a Data Science, Data Engineering, or Data Analysis role. Familiarity with data pipelining and streaming technologies (ex. Apache Kafka, Apache Nifi, etc.) Experience generating synthetic test/training data. Experience communicating research results in written, visual, and spoken forms to technical and non-technical audiences. Experience producing visualization of large-scale analysis and presentation of data CLEARANCE: TS/SCI minimum