Data Scientist (Mid) - TS/SCI

• U.S. Citizen
• Active Top-Secret/SCI security clearance at time of application and willingness to complete a CI poly upon request.
• A total of 5 points of relevant background via one of the following pathways:
• High school diploma and 5 years of relevant military or relevant professional experience.
• Relevant Bachelor’s degree and 2 years of relevant experience.
• Relevant Bachelor’s degree and relevant Master’s degree.
• Firm grasp of programming skills with the ability to write / maintain scripts, including Python and JAVA scripts and familiarity of querying with SQL.
• Knowledgeable in data science, including the areas of data services, modeling, and analytics.
• Knowledgeable of geospatial data management including data type conversion; coordinate systems (latitude and longitude, UTM) and their conversions; and knowledge of projections and their properties / conversions.
• Prior experience working with data quality control tools including ArcGIS Data ReViewer.
• Knowledge of ESRI Workflow Manager WMX and TAM.

Preferred:

• Preferred experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL, and data base inferencing.
• Experience with combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats.
• Ability to clean / prune data to discard irrelevant information
• Ability to examine data from a variety of angles to determine hidden value, weaknesses, trends, and/or opportunities
• Advanced knowledge of ESRI ArcGIS and ArcServer
• Knowledge of database systems and architecture (ORACLE, PostgresEQL, NoSEL (MongoDB), Microsoft Access)
• Ability writing SQL (and NoSQL for senior candidates)
• Understanding cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps
• Knowledge of symbolization rules (how symbols are used to portray features)
• Knowledge of generalization rules
• Experience working with geospatial data in a multi-user enterprise environment (i.e., versioning data)
• Knowledge of artificial intelligence, natural language processing, and machine-to-machine learning
• Knowledge of Metrics dissemination
• Ability to convert unstructured data into structured data
• Proficient in MS Outlook, Word, PowerPoint, Access, and Excel
• Senior candidates may have additional knowledge of Data Warehousing, Data Mining, Predictive Modeling, Data Integrity / Security, Data Anomaly Detection, Statistical Analysis, S-57 data structure, specifications, validation, and the ability to produce ENC and AML, use of ECDIS display systems

Work Environment

Work is within a team environment and will be conducted 50% telework and 50% on site in Springfield, VA.

Wiser offers innovative solutions to clients in the public, private, and government sectors. We combine technology and expertise to develop inventive solutions that deliver quality results and aid in critical decision making. With the flexibility and efficiency of a small business, we provide nimble responsiveness with the low risk and strong performance experience of an established GEOINT and Geospatial service provider.