Junior Data Scientist; Analytic Efficiency - Clearance Required
Listed on 2025-11-20
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IT/Tech
Data Analyst, Data Scientist, AI Engineer, Machine Learning/ ML Engineer
Junior Data Scientist (Analytic Efficiency) - Clearance Required
Join to apply for the Junior Data Scientist (Analytic Efficiency) - Clearance Required role at Cydecor, Inc.
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 Junior 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.
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.
- Create high‑quality prediction systems.
- Utilize data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau.
- Apply major data science languages such as R and Python.
- Perform management and merging of disparate data sources, preferably through R, Python, or SQL.
- Conduct 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.
- 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.
- Develop and refine semantic data retrieval and reasoning across knowledge graphs through development and optimization of data queries via Graph
QL, SPARQL, SHACL, SQL. - Maintain currency with independent research on methods of analysis in government, industry, and academia to keep senior leadership informed.
- Provide incremental enhancements to tools, capabilities, processes, and methods.
- Advise 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 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, including bias detection, hallucination recognition, prompt fairness testing, adherence to analytic tradecraft standards and security policies.
- Support stakeholders in translating technical documentation into analytic…
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