- Must possess an existing active TS/SCI level security clearance and be eligible to obtain a CI Poly.
- Bachelor's of Science degree in quantitative discipline such as data science, mathematics, statistics, earth science, quantitative social sciences, geographic information science, computer science, physics, or a related field. In conjunction with proficiency and at least three years' experience with applied data processing and scientific analysis of large datasets and machine learning.
- Extensive knowledge of programming languages (e.g., Python, Java, JavaScript, SQL, Pig or R), spatial analysis tools and concepts, data mining methods, database structures and analytic information extraction and visualization.
- Training in applied mathematics including statistics and mathematical modeling to support temporal and pattern analysis, correlation of events, probability analysis, assessments of sampling, analysis of variance and error, and regression testing and analysis.
- Demonstrated competency in one or more programming languages such as JavaScript, Python, or R for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization and process automation.
- Familiarization with modeling software (eg. FME, SPSS, SAS) for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization, and process automation.
- Demonstrated experience programmatically connecting to database and web based data sources.
- Demonstrated knowledge and experience in data mining, cleansing, and exploring spatial, temporal, and non-spatial data in both structured and unstructured formats.
- Proficiency in MS Office Suite.
- Master of Arts or Science degree or higher in a quantitative discipline such as data science, mathematics, statistics, earth science, quantitative social sciences, geographic information science, computer science, physics or other.
- Computational Analytic modeling: experience engineering and tuning deep learning algorithms for data science.
- Experience with 2 or more programming languages: R, Python, Pig, Java, JavaScript and/or SQL.
- Experience with running command line operations in one or more operating systems: Windows and/or Linux (command line).
- Experience with two or more visualization tools/packages: ggplot, Plotly, matplotlib, D3, Tableau, bokeh.
- Experience connecting to two or more database and web data services: e.g. Postgres, Oracle, SQLite and/or Arc SDE; API's, GeoJSON, REST.
- Demonstrated experience with two or more cloud based technologies: Docker containers, Juypter Hub, Zeppelin, Apache-Spark, Centos, Jenkins, GIT.
- Domain knowledge/IC: Background in intelligence, defense, international relations, or public administration multi-disciplines. Demonstrated familiarity with the US Intelligence Community specifically GEOINT collection and exploitation. Experience collaborating with all national and service intelligence agencies/centers. Demonstrated familiarity with the GEOINT Community and associated TPED products.
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Data Scientist - Springfield, United States - ECS Limited
Description
ECS is seeking a Data Scientist - Journeyman to work in our Springfield, VA office.
Job Description:
ECS is seeking a Data Scientist - Journeyman to work in our Springfield, VA office.
The Data Scientist will provide data expertise and mentoring to customer in scripting, modeling, mining and visualization by applying moderately complex tools and algorithms to identify trends and patterns in data, as well as identifying new techniques and capabilities for analytics through conditioning of data.
Required Skills:
ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3800 employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.