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Data Scientist - Senior (TS/SCI req'd)

St. Louis, MO

TITLE:           Geospatial Data Scientist - Senior

LOCATION:  St. Louis, MO

 

OVERVIEW

Streamline Defense is seeking an exceptionally-qualified candidate to serve as a Data Scientist at the Senior-level in support of the National Geospatial-Intelligence Agency (NGA).

 

RESPONSIBILITIES

  • Responsible for accuracy and consistency of geospatial data management, developing and maintaining data standards, and ensuring data is protected and compliant with office and agency regulations and standards.
  • Performs in-depth analysis of analytic operations and knowledge management issues across organizational and intra-IC boundaries and clearly articulates key findings.
  • Reviews analytic products for cogent arguments, tradecraft, industry and agency standards, and adequate support for conclusions; routinely tests analytic rigor of analytic content.
  • At least five (5) years of experience in geospatial data management, data governance, or data stewardship roles, preferably in a complex organizational environment.
  • Utilize SQL and have foundational understanding of database technologies with the ability to analyze and profile data.
  • Detail-oriented, analytical, and adept at problem solving to address data-related issues and coordinate the implementation of data improvement initiatives.
  • Stay up to date with industry trends and emerging best practices in data management, governance, quality and stewardship.
  • Analyzes complex data landscapes, identify data risks, and define mitigation strategies.

 

REQUIREMENTS

  • Active TS/SCI security clearance. Must be willing to take a CI polygraph, if required.
  • 5 years of experience in geospatial data management, data governance, or data stewardship roles, preferably in a complex organizational environment.
  • Proficient in SQL and have foundational understanding of database technologies with the ability to analyze and profile data.
  • Familiarity with data privacy regulations and their impact on data management practices.
  • Strong understanding of data management principals, data governance frameworks, and data quality concepts.
  • Possess excellent communication and collaboration skills to work effectively with cross functional teams and stakeholders.
  • Detail-oriented, analytical, and adept at problem solving to address data-related issues and coordinate the implementation of data improvement initiatives.
  • Stay up to date with industry trends and emerging best practices in data management, governance, quality and stewardship.
  • Demonstrated ability to analyze complex data landscapes, identify data risks, and define mitigation strategies.
  • Excellent documentation and organizational skills to maintain data governance artifacts and support audits and compliance requirements.
  • Proficient in ESRI suite of tools, geodatabase technologies and web capabilities.
  • Understanding of geospatial data metadata, standards, and implementation.

 

About Streamline
Streamline is a professional and technical solutions company focused on the U.S. Defense, Intelligence, and Special Operations communities. Our talented team of analyst, engineers, and military professionals support our clients most demanding missions. We offer an unmatched opportunity to grow and learn in an exciting and entrepreneurial environment. Highly motivated individuals will find a culture that values their individual input and compensates them well for their efforts.

Streamline provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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