Data Scientist

Location: Washington, DC
Job Location: Washington DC,

Clearance Required: Must be a U.S. Citizen and possess a current and active TS/SCI clearance granted by the Department of Defense or an Intelligence Community agency. Must be able to pass a Counterintelligence (CI) Polygraph.

Assured Consulting Solutions provides strategic and innovative solutions for customer needs across the business, technology, and organizational spectrum. As a member of our team, you will have the chance to work with customers that are both Government and industry leaders and technology innovators.

We are seeking a highly motivated Data Scientist to join our team.  A Federal Services information technology (IT) customer requires support of the enterprise IT environment including data management, strategy, and governance.  Under this contract, Assured Consulting Solutions provides direct assistance to the customer in IT services with a focus on consultant-level IT support.

Responsibilities include, but are not limited to:
  • Perform Data Engineering to include data transformation (XSLTs, ETL, etc.) and data ingest
  • Perform investigations to document as-is data flow in existing systems
  • Provide software coding in languages such as Python, Java, Groovy
  • Support the Government in creating and delivering:
  • Data Source Analysis. To include, an assessment of the accessibility of the data source; the value or quality of the data provided; and, the level of effort required to bring the data into compliance with the goal data model
  • Data Model. A data model conveying the scope of data required for data governance.  The data model will also contain a mapping of data source to data model and an assessment of where gaps may exist
  • Data Life-Cycle Strategy. A notional architecture will be provided that identifies how a Data Life-Cycle would be constructed to meet the needs for aggregating disparate data sources, from both known and future data sources, and a broad timeline for the development and approval of supporting life-cycle artifacts.
  • Leverage systems engineering or data engineering background to support the strategic data management vision
  • Provide assistance, guidance, and recommendations for developing, implementing, and managing a mature customer data management capability and governance which is grounded in industry best practices and aligned to applicable policies and the strategic plans of the customer and their community
  • Develop and provide assessments, updates, guidance and recommendations regarding the ability and maturity of available data-architecture, data-management, data-warehousing, data-policies, data-assets, and data-governances to support the development of a mature data management capability and strategic data lifecycle
  • Document recommendations for improving data sharing, increasing data repurposing, and decreasing the costs associated with data management efforts
  • Document recommendations for improving links between various disconnected databases and data stores, making data easier to discover, access and transform into knowledge
  • Provide documented assessment, updates, guidance, and recommendations regarding handling structure and unstructured datasets and storing, cleaning, and fusing data for further interpretation through proactive discovery, recurring SME engagement, and evaluations of current and future initiatives and capabilities
  • Provide documented assessment, updates, guidance, and recommendations regarding master data governance, roadmaps, processes, and data standards through proactive discovery, recurring SME engagement, and evaluation of current and future initiatives and capabilities
  • Provide documented assessment, updates, guidance, and recommendations regarding an enterprise data dictionary for master data including attributed, ownership, definitions, taxonomies, standards, and industry reference data through proactive discovery, recurring SME engagement, and evaluation of current and future initiatives and capabilities
  • Provide assistance, guidance, and recommendations to various working groups which impact or support the development, implementation, and management of mature analytics capabilities related to data management, data warehousing, dashboards, and visualization
  • Create executive level reports and briefings on data architecture, data management, and data analytics for customer senior leadership
  • Document recommendations for the establishment of data management roles and responsibilities across the DIE. The contractor shall document existing commercial and government-provided training courses available to support established roles and responsibilities
  • Assist in the establishment of enterprise governance policy and procedures to support the acquisition, use, management, and disposition of data within the enterprise.
  • Identify infrastructure requirements necessary to support mission and business data management needs. The contractor shall document recommendations for infrastructure improvements to support mission needs
Required Qualifications:
  • Ability to create code in Python, Java, and Groovy
  • Experience ingesting, analyzing, and visualizing data using Tableau
  • Experience ingesting and analyzing data using Python and R
  • Possess an understanding of how data flows through systems
  • Possess an understanding of data standards and data management
  • Possess an understanding and at least two (2) years of direct experience working in the IC.
Desired Qualifications:
  • Ability to code in R, Python, Java, Groovy, or similar language.
  • Experience with Node.js, Spark, Neo4J, Graph Databases, Mule ESB, and Rest API.
  • Experience using Collibra Data Governance Center, or similar tools, highly desired.

Education Qualifications:
A master's degree in Computer Science, Mathematics, Information Technology or Engineering. A master's degree may be replaced with a bachelor's degree and ten (10) years of Computer Science experience.

Years of Experience:
14+ years w/ High School Diploma
10+ years w/ Bachelor's Degree
06+ years w/ Master's Degree

Position Type: Full-Time

Shift: Day
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