Data Scientist; Analytic Efficiency - Clearance Required

Overview

Cydecor is a premier Federal Government solutions provider, delivering differentiated innovations in mission systems and business platforms. We leverage leading-edge secure systems and software development, backed by industry-leading subject matter expertise, and business intelligence to enable decision-support and remain ahead of ever-evolving national security challenges. Our success rests squarely on three bedrock principles:
People, our center of gravity;
Mission, what inspires us; and an unyielding commitment to Excellence, what separates us.

We are seeking a Data Scientist - Object Based Intelligence (OBI) Analytic Efficiency to discover and analyze complex data sets and data sources to derive actionable insights using statistical methods, machine learning and data visualization tools. This position will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI).

Work locations vary throughout the National Capital Region (NCR), with Reston, VA and Washington, DC being primary locations.

• Data Science specifically:
  Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis.
• Utilizes scientific techniques to correlate data into graphical, written, visual and verbal narrative products to inform high quality analytic decisions.
• Proactively retrieves data from various sources and analyzes data for better understanding.
• Builds and utilizes Artificial Intelligence (AI)/ Machine Learning (ML) tools to automate processes for efficiencies.
• Builds high quality prediction systems.
• Utilizes data visualization and graphical applications, to include Microsoft Office (Power BI) and Tableau.
• Utilizes major data science languages, such as R and Python.
• Performs management and merging of disparate data sources, preferably through R, Python, or SQL.
• Performs statistical analysis, and data mining algorithms.

• Designs, develops, and evaluates leading-edge algorithmic intelligence concepts, practices, and technologies for implementation into OBI.
• Recommends advanced statistical or mathematical techniques and methodology that may permit identification and evaluation of alternatives.
• Assists in model formulation or experimental test design.
• Shares joint in team responsibility for development of advanced analytic techniques and assessments.
• Collaborates with team members to develop and refine exploratory efforts leveraging novel technologies.
• Automates ontologies and associated components to ensure semantic accuracy, relevance, and interoperability.
• Evaluates data science, AI/ML, and other advanced analytic methods for risks, biases, and limitations.
• Collaborates 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. Graph
  
  QL, SPARQL, SHACL, SQL).
• Maintains 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.
• Provides incremental enhancements to tools, capabilities, processes, and methods.
• Advises on emerging data science methods, tools, algorithms, training, or requirements.
• Serves as the primary POC for data science expertise, ensuring tradecraft compliance and analytic standards as it relates to data science techniques on the contract.
• Ensures compliance with tradecraft standards and adherence to best practices in AI system development and deployment.
• Assesses OBI documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to owners and developers.
• Provides consultation and guidance to owners, developers, and stakeholders on OBI governance and knowledge modeling, including best practices for AI system development, testing, and deployment.
• Collaborates 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.
• Supports stakeholders in translating technical documentation into analytic tradecraft compliant language.
• Supports and automates 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.
• Develops and maintains a repository of audit findings and recommendations to facilitate knowledge sharing and best practices.
• Provides technical input into and participate in the development of software and computer graphics systems.
• Writes scripts to drive data science workflows.
• Works with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, and develop data schemas to…