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aqua IT · 5 hours ago

Senior Data Scientist

Doral, FL

Full-time

Onsite

Senior Level

5+ years exp

Aqua IT is a rapidly growing organization in the federal sector, known for its ability to rapidly deploy specialized teams to deliver impactful solutions. The Senior Data Scientist role involves understanding transnational criminal organizations, operationalizing analytic output, and creating processes around large data sets to identify analytical discoveries.

ConsultingCyber SecurityInformation Technology

Responsibilities

An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR

An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206

An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning

Must be able to operate at a senior level and in an independent environment

Must be proficient at creating processes around large data sets to identify analytical discoveries

Must be able to script at a Senior Level in python

Must be able to take these discoveries and provide them through visualizations that are easily integrated into daily operations

Qualification

PythonData ScienceGeospatial Data ManagementTableauGitSQLNoSQLData Quality ControlCloud ArchitectureSoft Skills

Required

An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR

An understanding of coca cultivation and production areas

Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206

An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning

Must be able to operate at a senior level and in an independent environment

Must be proficient at creating processes around large data sets to identify analytical discoveries

Must be able to script at a Senior Level in python

Must be able to take these discoveries and provide them through visualizations that are easily integrated into daily operations

5 – 7 years of demonstrated programming skills with the ability to write/maintain scripts, including Python scripts

An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning

Knowledge and experience using version control tools such as Git

3-5 years' experience in data science, including the areas of data collection processing exploitation, transformation services, modeling, and analytics

3-5 years of demonstrated experience performing geospatial data management, including data type conversions coordinate systems in (latitude and longitude, UTM) and their conversions and knowledge of projections and their properties/conversions

1 - 3 years of experience, using Tableau or equivalent Business Intelligence software and software server functions

Preferred

Experience in combining, digital cartography, computer, technology, GIS, cartographic and geospatial, production techniques, remote, sensing photography and digital data formats

Proficient in Feature Manipulation Engine (FME) software such as FME Workbench

Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and or opportunities next line knowledge of ESRI, ArcGIS/ArcPro and Arc Server

Experience with ESRI Workflow Manager, WMX and TAM

Knowledge of database systems and architecture

Ability writing SQL and NoSQL

Understanding of cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps

Knowledge of symbolization rules

Experience working with geospatial data in multiuser enterprise environment

2 years of experience working with data quality control, tools, including ArcGIS data reviewer

Experience with analyzing existing production systems and providing feature recommendations to enhance data science capabilities