Data Scientist (Advanced Analytic Method Augmentation) - Clearance Required

Cydecor, Inc•Alexandria, VA

34d

About The Position

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. Job Description: We are seeking a Data Scientist - Object Based Intelligence (OBI) Advanced Analytic Method Augmentation to 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.

Requirements

Minimum 8 years of related experience with at least a portion of the experience within the last 2 years.
Bachelor's degree in a related area from a college or university accredited by an agency recognized by the U.S. Department of Education.
Demonstrated comprehensive mission knowledge and skills that affirms completion of all developmental training and related experiences.
Demonstrated ability to communicate understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, and / or technically advanced. Ability to structure analytic questions based on trends in reporting and a range of analytic perspectives from other analysts, organizations, and intelligence disciplines.
Demonstrated ability to work independently with minimal oversight and direction.
Demonstrated ability to collaborate and work with other IC members on information sharing, driving collection, and addressing analytic disputes and conflict resolution.
Demonstrated ability to develop concise, insightful, and comprehensive products for defense intelligence.
Demonstrated ability to guide teams in researching multifaceted or critical problems.
Active TS/SCI

Nice To Haves

Master's degree in a related area and at least 12 years of related experience (with at least a portion of the experience within the last 2 years), or a Bachelor's degree in a related area and at least 17 years of related experience.

Responsibilities

Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
Creates various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
Uses data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
Leverages knowledge of large data multi-INT analytics, ML, and automated predictive analytics.
Designs, develops, and evaluates leading-edge algorithmic intelligence concepts, practices, and technologies for implementation into all-source analysis tradecraft, assessments, production, and dissemination.
Proposes advanced statistical or mathematical techniques and methodology that may permit identification and evaluation of alternatives, assists in model formulation or experimental test design, and shares jointly in team responsibility for development of advanced analytic techniques and assessments.
Evaluates data science, artificial intelligence, and other advanced analytic methods for risks, biases, and limitations that would distort conclusions.
Conducts continuous independent research on methods of analysis in government, industry, and academia to keep abreast of the state of the art, keeps senior leadership apprised of the advances and applicability to programs.
Utilizes in-depth knowledge of relevant theories, techniques, procedures and processes to investigate, prototype, and evaluate technologies to improve all-source intelligence analysis.
Provides technical input into and participates in the development of software and computer graphics systems.
Performs research studies to understand the process of augmenting or automating all source analytic processes using various computer models.
Provides incremental enhancements to tools, capabilities, processes, and methods.
Possesses in-depth knowledge and experience in using data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
Writes either R or Python scripts to drive data science workflows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
Leverages skills in large data, spatial data, multi-INT analytics, ML, and automated predictive analytics.
Works with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, develop data schemas to structure observations. This requires working 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.
Creates and works in distributed analytic environments, scaling algorithms to work on increasingly large and complex datasets that are larger than RAM.
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.
Provides advice on emerging data science methods, tools, algorithms, training, or requirements to advance DIA's analytic edge in its use of data science.
Works with DIA vendors and the software developers to implement distributed algorithms to work on increasingly large and complex data sets.
Reviews and evaluates OBI documentation submitted by advanced analytic (AA) owners to ensure 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 data and AA owners, developers, and stakeholders on OBI governance and knowledge modeling, including best practices for system development, testing, and deployment.
Assists analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language.
Collaborates with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language.
Reviews and edits translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards.
Collaborates with the Computer Scientist to develop and implement testing methodologies for system validation and evaluation.
Conducts 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 across the organization.
Designs and executes TEVV protocols to evaluate the performance, robustness, and fairness of systems in all source analysis contexts.
Develops and applies statistical models and methods to analyze TEVV results and identify areas for improvement.
Collaborates with stakeholders to develop and implement corrective actions to address TEVV findings.
Develops and tracks performance metrics to evaluate the effectiveness of systems in all source analysis.
Analyzes and interprets performance metrics to identify trends, patterns, and areas for improvement.
Collaborates with stakeholders to develop and implement data-driven decision-making processes to inform system development and improvement.
Develops and refines methodologies for evaluating system performance, robustness, and fairness in all source analysis contexts.
Collaborates with stakeholders to develop and implement best practices for system development, testing, and deployment.
Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.