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Peraton · 2 months ago

Senior Data Scientist - Object Based Intelligence (OBI) Analytic Efficiency

Herndon, VA

Full-time

Onsite

Senior Level, Lead/Staff

$112K/yr - $179K/yr

12+ years exp

Peraton is a next-generation national security company that drives missions of consequence spanning the globe. The Senior Data Scientist will utilize expertise in discovering and analyzing complex data sets to derive actionable insights using statistical methods, machine learning, and data visualization tools, focusing on OBI Analytic Efficiency.

Information TechnologyRobotics

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis

Utilize scientific techniques to correlate data into graphical, written, visual and verbal narrative products to inform high quality analytic decisions

Proactively retrieve data from various sources and analyze data for better understanding

Build and utilize Artificial Intelligence (AI)/ Machine Learning (ML) tools to automate processes for efficiencies

Build high quality prediction systems

Utilize data visualization and graphical applications, to include Microsoft Office (Power BI) and Tableau

Utilize major data science languages, such as R and Python

Perform management and merging of disparate data sources, preferably through R, Python, or SQL

Perform statistical analysis, and data mining algorithms

Design, develop, and evaluate leading-edge algorithmic intelligence concepts, practices, and technologies for implementation into OBI

Recommend advanced statistical or mathematical techniques and methodology that may permit identification and evaluation of alternatives

Assist in model formulation or experimental test design

Share joint in team responsibility for development of advanced analytic techniques and assessments

Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies

Automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability

Evaluate data science, AI/ML, and other advanced analytic methods for risks, biases, and limitations

Collaborate with team members to develop and refine semantic data retrieval and reasoning across knowledge graphs through development and optimization of data queries via multiple protocols (e.g. GraphQL, SPARQL, SHACL, SQL)

Maintain currency with independent research on methods of analysis in government, industry, and academia to keep abreast of the state of the art and keep senior leadership informed

Provide incremental enhancements to tools, capabilities, processes, and methods

Advisor on emerging data science methods, tools, algorithms, training, or requirements

Serve as the primary POC for data science expertise, ensuring tradecraft compliance and analytic standards as it relates to data science techniques on the contract

Ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment

Assess OBI documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to owners and developers

Provide consultation and guidance to owners, developers, and stakeholders on OBI governance and knowledge modeling, including best practices for AI system development, testing, and deployment

Collaborate with team members to identify and implement practices for responsible AI development, to include bias detection, hallucination recognition, prompt fairness testing, adherence to analytic tradecraft standards and security policies

Support stakeholders in translating technical documentation into analytic tradecraft compliant language

Support and automate entity recognition and extraction summarization, in accordance with analytic tradecraft standards

Conduct audits to ensure compliant use of systems for approved use-cases in all source analysis

Develop and maintain a repository of audit findings and recommendations to facilitate knowledge sharing and best practices

Provide technical input into and participate in the development of software and computer graphics systems

Writes scripts to drive data science workflows

Work with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, and develop data schemas to structure observations

Work with vendors and software development to implement distributed algorithms

Qualification

Data ScienceMachine LearningStatistical AnalysisData VisualizationRPythonSQLAlgorithm DevelopmentCritical ThinkingCollaborationAdaptabilityCommunicationProblem Solving

Required

Bachelor's degree in a relevant field, such as Data Science, with a minimum of 17 years of experience or Master's degree with a minimum of 12 years of work experience

Professional or graduate certificate in Data Science from a university or major online learning platform

Experience in data visualization and use of graphical applications, including Microsoft Office Power BI and Tableau

Experienced in major data science languages, such as R and Python

Experienced in managing and merging disparate data sources, preferably through R, Python, or SQL

Experienced in statistical analysis and developing data mining algorithms

Experienced with large data multi-INT analytics, ML, and automated predictive analytics

Experienced in algorithm development, data structures, and software development practices

Experienced knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all-source intelligence analysis and production

Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions

Ability to work collaboratively with users and stakeholders

Capacity to adapt to changing situations to prioritize tasks effectively

Excellent communication, analytical, and problem-solving skills