ANSER
DataScientist
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optimal for Senior candidates.
“Data Scientist at ANSER. Skills: Data Science, Machine Learning, Statistical Techniques, Object-Based Intelligence. Design, develop, evaluate algorithmic intelligence. Apply statistical, mathematical, experimental methodologies”
What You'll Achieve.
Advance analytic efficiency; Advance predictive capabilities; Deliver actionable insights; Support OBI analytic production; Support decision-making; Identify trends, gaps, opportunities for system improvement; Advance OBI standards; Advance knowledge modeling; Advance DIA analytic capabilities
Industry & Context.
Analyze complex multi-INT datasets; Identify alternatives; Formulate models; Deconstruct key questions; Suggest methodologies
TS/SCI with CI Poly clearance
What They're Looking For.
Must Have
TS/SCI with CI Poly clearance, Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field, Eight or more years of experience in data science, analytics, or machine learning in support of intelligence or defense missions, Proficiency in Python, R, and SQL, Experience with data visualization tools such as Power BI or Tableau, Demonstrated understanding of Object Based Intelligence frameworks, Demonstrated experience with predictive modeling, data mining, statistical analysis, and ML algorithms, Familiarity 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, Experience with large data multi-INT analytics, machine learning (ML), and automated predictive analytics, Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and major data science languages, such as R and managing and merging of disparate data sources, preferably through R, Python, or statistical and data mining algorithms
Nice to Have
Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives, Knowledge of TEVV methodologies, bias detection, and fairness analysis for AI systems, Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures, Knowledge of DoD 8570/8140 compliance and responsible AI policy frameworks, 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), Developing OBI governance and tradecraft to assist DIA and other DIAAE organizations conducting OBI
What You'll Do.
evaluate algorithmic intelligence
experimental methodologies
evaluate technologies
Leverage novel technologies
optimize semantic data retrieval
Evaluate data science
Execute TEVV protocols
Collaborate with stakeholders
refine methodologies for evaluating analytic systems
scientific techniques
Write and maintain Python or R scripts
Manage and merge disparate data sources
Develop scalable workflows
Create and operate in distributed analytic environments
Work with ambiguous and complex information
Version-controlled code contributions
How You'll Work.
Team & Collaboration
Collaborate with stakeholders to implement data-driven decision-making processes
Communication Scope
Verbal analytic products
Full Job Description
Company Overview: ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service. Position Summary ANSER is seeking a Data Scientist to advance analytic efficiency and predictive capabilities across the Object-Based Intelligence (OBI) enterprise. You will leverage data science, machine learning, and statistical techniques to analyze, model, and visualize complex multi-INT datasets, delivering actionable insights that support OBI analytic production and decision-making. Day-to-Day Responsibilities Design, develop, and evaluate advanced algorithmic intelligence, data science, and AI techniques to support Object-Based Intelligence (OBI) through all-source analytic tradecraft, assessments, production, and dissemination. Propose and apply advanced statistical, mathematical, and experimental methodologies to identify alternatives, formulate models, and develop innovative analytic techniques. Research, prototype, and evaluate technologies that augment or automate all-source analytic processes using computer models and advanced analytics. Leverage novel technologies (e.g., large language models, NLP, machine learning) to automate and enhance ontologies, entity recognition, extraction, and summarization in accordance with analytic tradecraft standards. Develop, refine, and optimize semantic data retrieval and reasoning across knowledge graphs using query languages and protocols (e.g., SPARQL, GraphQL, SHACL, SQL). Evaluate data science, AI, and analytic methods for bias, risk, limitations, and potential distortion of analytic conclusions, and support responsible AI practices. Execute Test, Evaluation, Ver
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