Exploitation Specialist/Data Scientist - Senior
Clearance Jobs - Saint Louis, Missouri, United States, 63101
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Overview
Leidos is actively hiring for an Exploitation Specialist/Data Scientist (Senior) to join our team in St. Louis, MO. Job Summary: This work requires staff to perform deep data investigations on complex problems using applied statistics, building algorithms, and collaborating with domain expertise to convey complicated realities to non-technical audiences. Primary Responsibilities: Provide embedded GEOINT/ Data Science expertise to assure continuity of Precise Imagery data provision to the customer. Deliver service solutions that integrate best practices to modernize current practices. Perform data Investigations on complex problems using applied statistics, building algorithms and collaborating with domain expertise to convey complicated realities to non-technical audience. Provide data visualization of disparate sources via dashboards that can be understood by non technical audiences. Coordinate utilization and sustainment of the new database management processes and workflows with database developers and analysts. Ensure new workflows have ability to be integrated seamlessly with our modernized database applications and enterprise-level APls. Data modeling and simulation of production and change detect i on data of in-house created data. Data visualization of production metrics of in-house created data. Statistical analysis of in-house created data. Scripting and coding to include converting Visual/Basic Maplnfo scripts to Python. Implementing enterprise database management processes. Automating repetitive data management tasks. Basic Qualifications: Bachelor's degree in related field Typically requires a BA degree and 8
12 years of prior relevant experience or Masters with 6
10 years of prior relevant experience. A combination of 9 years of demonstrated experience in any three of the following tools/methodologies:
Python ArcGIS, ArcSDE, ArcPro Quantum GIS (QGIS) PostgreSQL, Postgis, PgAdmin Application programming interfaces (APls) Using applied statistics Building algorithms
Understanding and familiarity with the following tools:
Maplnfo, MapBasic
Preferred Qualifications: Experience with workflow management systems, such as Flowable Come break things (in a good way). Then build them smarter. We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."