Cydecor, Inc. ยท 1 month ago
Data Scientist (Advanced Analytic Method Augmentation) - Clearance Required
Alexandria, VA
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expCydecor, Inc. is a premier Federal Government solutions provider, delivering innovations in mission systems and business platforms. The Data Scientist will support multiple DIA initiatives, utilizing advanced analytic methods and machine learning tools to enhance data-driven decision-making processes.
AppsConsultingSoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
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
Qualification
Required
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
Preferred
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
Benefits
Health and Dental Insurance
Vision and Life Insurance
Short-Term & Long-Term Disability
401(K) + company match
Paid Time Off (PTO)
Paid Company Holidays
Tuition and Professional Development Assistance
Company
Cydecor, Inc.
Cydecor is a premier veteran-owned Federal Government solutions provider, delivering differentiated innovations in mission systems and business platforms.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Nader Elguindi
President & CEO
Company data provided by crunchbase