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ECS

Senior Data Scientist

Posted 13 Days Ago
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In-Office
Washington, DC
150K-190K Annually
Senior level
In-Office
Washington, DC
150K-190K Annually
Senior level
As a Senior Data Scientist, you'll lead machine learning and data analysis tasks, collaborate with customers, automate workflows, and support critical operations for the Department of Justice.
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Job Summary & Responsibilities

ECS is seeking a TS-cleared Senior Data Scientist to support one of our mission critical programs for the Department of Justice in Washington, DC.


We offer the chance to support the world’s finest law enforcement organization and help the people that keep us safe. In this job you will support agents, analysts, and professionals and the technology they use to fight terrorism, espionage, cyber-attacks, and major criminal threats.


We are seeking candidates committed to high quality to provide innovative solutions. As a Senior Data Scientist, you will collaborate with customers, often engaging directly with non-technical personnel, to understand their data science related needs, suggest solutions, and complete the work in a timely manner. This position performs activities associated with the implementation, integration, operations and support of computer systems in a mission-critical response operations environment.


  • Lead and / or design machine learning, statistical analysis, and data analysis tasks.
  • Leverage existing and / or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data to provide novel insights.
  • Interpret data, identify features and model variables, assess the quality of model outputs, generate alternatives, and conduct remediation.
  • Develop and carry out quality control and assurance tasks.
  • Develop write - ups, visualizations, infographics, and charts to communicate results and associated findings.
  • Automate routine workflows and data analysis steps such that customers can self - service their needs.

Salary Range: $150,000 - $190,000

General Description of Benefits

Preferred Qualifications
  • Lead and/or design low to medium complexity machine learning, statistical analysis and data analyst tasks. 
  • Support operations and maintenance of legacy data processes leveraging MS Access, Python, VBA, Powershell, Power Query, and JavaScript.
  • Required high level of proficiency in Python, R, and / or Visual Basic.
  • Required high level of proficiency in SQL, NoSQL, and / or MySQL.
  • Interpret data, identify features and model variables, and assess the quality of mode outputs, identifying alternatives and remediation, as needed.
  • Lead model bake off and model comparison efforts for low to medium complexity efforts; supports tasks in more complex projects.
  • Develop visualizations, info graphics, and charts to communicate model results and data science-derived findings.
  • Leverage data science techniques to provide continual enhancement to the data processes.
  • Support program metrics and strategic exploitation of program data.
  • Leverage a broad scope of COTS, including but not limited to MS Access, Excel, PowerBI, and Tableau as well as GOTS analytic tools to perform analysis.
  • Extract, enrich and analyze data from disparate data repositories to provide mission insight and respond to data calls.
  • Develop and maintain various COTS and custom parsers for ad hoc data triage.
  • Use data science tools and methodologies to evaluate data sets to improve data analysis.

Top Skills

Excel
JavaScript
Ms Access
MySQL
NoSQL
Power Query
Power BI
Powershell
Python
R
SQL
Tableau
Visual Basic

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