Data Scientist

Gateway Geospatial Group

St. Louis, MO, United States

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Microsoft Access Microsoft Excel Data Analysis ArcGIS (Software) Big Data Databases Data Integrity Relational Databases Geospatial Intelligence R (Programming Language) Apache Hadoop Statistical Hypothesis Testing

+15 more

SPSS (Software) Python (Programming Language) Knowledge Management MATLAB Machine Learning NoSQL Operational Data Store Oracle (Applications) SAS (Software) SQL Databases Tableau (Software) Apache Spark Information Technology Statistics Packages Visual Basic Language

Job description

Develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intel disciplines
Optimize existing databases to speed up the query, input, export and visualization of data
Work with AOS and AOB teams to develop strategies for exposing new datasets and create migration plans for legacy datasets
Build custom solutions (tools, processes, etc.) to automate or assist analytic endeavors as submitted by AOS and AOB leadership and analytic units
Write scripts in Visual Basic, R, Python or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors that are repeatable, efficient, and enable hypothesis testing and knowledge capture
Use mathematical concepts and techniques to solve complex GEOINT analysis problems
Utilize ArcGIS, Excel, SPSS, SAS, MATLAB, R and other statistical packages to analyze and visualize operational data
Visualize data both temporally and spatially to assist in data integrity checks, prepare follow-on analysis, ask the next question, and display analytical assessments
Maintain, move and manipulate data between applications using SQL databases, ArcServer, table data, relational/NoSQL DBMS, Excel, Access, Tableau, Insights, Oracle
Develop tradecraft techniques and training solutions for discovery, preparation, manipulation and normalization of big data so that methods are repeatable and can be explained to users

Requirements

Active TS/SCI security clearance
Bachelor’s degree in Computer Science, Mathematics, Statistics, or related technical field required; Master’s degree preferred
3+ years of experience in data science, data analysis, or related field
Strong proficiency in SQL and relational database concepts
Experience with statistical programming languages such as R, Python, MATLAB
Knowledge of geospatial analysis concepts and tools such as ArcGIS
Familiarity with big data technologies like Hadoop, Spark, NoSQL databases
Excellent problem-solving skills and ability to develop innovative solutions
Strong verbal and written communication skills, * 5+ years of experience in data science, preferably in the intelligence community
Experience working with geospatial intelligence data and products
Knowledge of NGA’s mission, organization, and functions
Familiarity with IC data sources, tools, and analytic methodologies
Experience developing and deploying machine learning models
Ability to collaborate effectively in cross-functional teams
Strong leadership skills and ability to mentor junior analysts