ANSER
National and homeland security
PrincipalComputerScientist
“Principal Computer Scientist at ANSER. Skills: AI/ML Quality Assurance, Data Science, Computer Science. Review QAF documentation. Assess QAF documentation”
What You'll Achieve.
strengthening public institutions; deliver practical, useful solutions; measure success in the impact of our service; ensure compliance with tradecraft standards; adherence to best practices; support Government intelligence search and discovery missions; facilitate knowledge sharing; support predictive analysis
Industry & Context.
correlate complex, technical findings; identify and address potential issues or gaps
TS/SCI with Poly Clearance
What They're Looking For.
Must Have
TS/SCI with Poly Clearance, Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field, 20 years related experience in data science, analytics, or machine learning, High knowledge of TEVV methodologies, bias detection, and fairness analysis for AI systems, High Proficiency in Python, R, and SQL, experience with data visualization tools such as Power BI or Tableau, High experience with predictive modeling, data mining, statistical analysis, and ML algorithms, experience with knowledge graphs, semantic data modeling, and query languages (e. g. , SPARQL, GraphQL), experience developing, implementing, and evaluating AI/ML models for analytic efficiency and tradecraft compliance, understanding of DoD 8570/8140 compliance standards for computer science and cybersecurity roles
Nice to Have
Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives, Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures, Demonstrated understanding of Object Based Intelligence frameworks, Experience with DoD 8570/8140 compliance and responsible AI policy frameworks, Experience working with in support of Defense Intelligence All-source Analytic Enterprise (DIAAE) OBI efforts, the Defense Intelligence Enterprise Knowledge Model (DIEKM), and Defense Intelligence Core Ontology (DICO)
What You'll Do.
Review QAF documentation
Assess QAF documentation
Develop data mining algorithms
Make data management recommendations
Maintain QAF documentation repository
Provide consultation on QAF process
Collaborate on QAF documentation issues
Develop training materials
Assist in translating technical documentation
Collaborate on translating documentation
Review translated documentation
Support capability development
Employ data science techniques
How You'll Work.
Team & Collaboration
Collaborate with AA owners; Collaborate with developers; Collaborate with stakeholders; Collaborate with analytic methodologists
Communication Scope
verbal narrative products; written narrative products; graphical narrative products; visual narrative products; tradecraft compliant language
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