Cydecor, Inc.
Data Scientist (Advanced Analytic Method Augmentation) - Clearance Required
Cydecor, Inc., Alexandria, Virginia, us, 22350
Data Scientist (Advanced Analytic Method Augmentation) - Clearance Required
Join to apply for the
Data Scientist (Advanced Analytic Method Augmentation) - 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.
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.
Responsibilities include:
Conduct data analytics, engineering, mining, exploratory analysis, predictive analysis, and statistical analysis, using scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
Proactively retrieve information from various sources, analyze it for better understanding, and build AI tools that automate certain processes.
Create various ML‑based tools or processes, such as recommendation engines or automated lead scoring systems.
Perform statistical analysis, apply data mining techniques, and build high‑quality prediction systems.
Use data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R or Python; manage and merge disparate data sources, preferably through R, Python, or SQL; perform statistical analysis; and use data mining algorithms.
Leverage knowledge of large data multi‑INT analytics, ML, and automated predictive analytics.
Design, develop, and evaluate leading‑edge algorithmic intelligence concepts, practices, and technologies for implementation into all‑source analysis tradecraft, assessments, production, and dissemination.
Propose advanced statistical or mathematical techniques and methodology that may permit identification and evaluation of alternatives, assist in model formulation or experimental test design, and share joint responsibility for development of advanced analytic techniques and assessments.
Evaluate data science, artificial intelligence, and other advanced analytic methods for risks, biases, and limitations that would distort conclusions.
Conduct continuous independent research on methods of analysis in government, industry, and academia to keep abreast of the state of the art, and keep senior leadership apprised of advances and applicability to programs.
Utilize in‑depth knowledge of relevant theories, techniques, procedures and processes to investigate, prototype, and evaluate technologies to improve all‑source intelligence analysis.
Provide technical input into and participate in the development of software and computer graphics systems.
Perform research studies to understand the process of augmenting or automating all‑source analytic processes using various computer models.
Provide incremental enhancements to tools, capabilities, processes, and methods.
Possess 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.
Write either R or Python scripts to drive data science workflows, have experience using SQL, and manage and merge disparate data sources, preferably through R, Python, or SQL; perform statistical analysis; and use data mining algorithms.
Leverage skills in large data, spatial data, multi‑INT analytics, ML, and automated predictive analytics.
Work with ambiguous information, deconstruct key questions, leverage spatial data, exploit APIs, 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 SOPs to create repeatable, widely applicable procedures to support all‑source intelligence analysis and production.
Create and work in distributed analytic environments, scaling algorithms to work on increasingly large and complex datasets that are larger than RAM.
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.
Provide advice on emerging data science methods, tools, algorithms, training, or requirements to advance DIA's analytic edge in its use of data science.
Work with DIA vendors and software developers to implement distributed algorithms to work on increasingly large and complex data sets.
Review and evaluate OBI documentation submitted by advanced analytic owners to 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 data and AA owners, developers, and stakeholders on OBI governance and knowledge modeling, including best practices for system development, testing, and deployment.
Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language.
Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language.
Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards.
Collaborate with the Computer Scientist to develop and implement testing methodologies for system validation and evaluation.
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 across the organization.
Design and execute TEVV protocols to evaluate the performance, robustness, and fairness of systems in all source analysis contexts.
Develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement.
Collaborate with stakeholders to develop and implement corrective actions to address TEVV findings.
Develop and track performance metrics to evaluate the effectiveness of systems in all source analysis.
Analyze and interpret performance metrics to identify trends, patterns, and areas for improvement.
Collaborate with stakeholders to develop and implement data‑driven decision‑making processes to inform system development and improvement.
Develop and refine methodologies for evaluating system performance, robustness, and fairness in all source analysis contexts.
Collaborate with stakeholders to develop and implement best practices for system development, testing, and deployment.
Support capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.
Here’s what you need:
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 a U.S. Department of Education‑recognized agency.
Demonstrated comprehensive mission knowledge and skills that affirm completion of all developmental training and related experiences.
Demonstrated ability to communicate understanding of information that may be incomplete, indirect, highly complex, seemingly unrelated, 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.
Bonus points if you have:
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.
Security Clearance:
Active TS/SCI
Education:
Master’s degree
Work Schedule:
Monday – Friday, 8 hours each day
Benefits: Cydecor offers a comprehensive compensation package including 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 and more.
What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Cydecor has the responsibility to create and sustain an inclusive environment.
Equal Employment Opportunity Statement Cydecor is an Equal Employment Opportunity/Affirmative Action Employer (EEO/AA). All employment and hiring decisions are based on qualifications, merit, and business needs without regard to race, religion, color, sexual orientation, nationality, gender, ethnic origin, disability, age, sex, gender identity & expression, veteran status, marital status, or any other characteristic protected by applicable law. If you are a qualified individual with a disability and/or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site because of your disability. You can request assistance by contacting HR@cydecor.com or calling 703‑884‑2105.
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Data Scientist (Advanced Analytic Method Augmentation) - 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.
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.
Responsibilities include:
Conduct data analytics, engineering, mining, exploratory analysis, predictive analysis, and statistical analysis, using scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
Proactively retrieve information from various sources, analyze it for better understanding, and build AI tools that automate certain processes.
Create various ML‑based tools or processes, such as recommendation engines or automated lead scoring systems.
Perform statistical analysis, apply data mining techniques, and build high‑quality prediction systems.
Use data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R or Python; manage and merge disparate data sources, preferably through R, Python, or SQL; perform statistical analysis; and use data mining algorithms.
Leverage knowledge of large data multi‑INT analytics, ML, and automated predictive analytics.
Design, develop, and evaluate leading‑edge algorithmic intelligence concepts, practices, and technologies for implementation into all‑source analysis tradecraft, assessments, production, and dissemination.
Propose advanced statistical or mathematical techniques and methodology that may permit identification and evaluation of alternatives, assist in model formulation or experimental test design, and share joint responsibility for development of advanced analytic techniques and assessments.
Evaluate data science, artificial intelligence, and other advanced analytic methods for risks, biases, and limitations that would distort conclusions.
Conduct continuous independent research on methods of analysis in government, industry, and academia to keep abreast of the state of the art, and keep senior leadership apprised of advances and applicability to programs.
Utilize in‑depth knowledge of relevant theories, techniques, procedures and processes to investigate, prototype, and evaluate technologies to improve all‑source intelligence analysis.
Provide technical input into and participate in the development of software and computer graphics systems.
Perform research studies to understand the process of augmenting or automating all‑source analytic processes using various computer models.
Provide incremental enhancements to tools, capabilities, processes, and methods.
Possess 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.
Write either R or Python scripts to drive data science workflows, have experience using SQL, and manage and merge disparate data sources, preferably through R, Python, or SQL; perform statistical analysis; and use data mining algorithms.
Leverage skills in large data, spatial data, multi‑INT analytics, ML, and automated predictive analytics.
Work with ambiguous information, deconstruct key questions, leverage spatial data, exploit APIs, 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 SOPs to create repeatable, widely applicable procedures to support all‑source intelligence analysis and production.
Create and work in distributed analytic environments, scaling algorithms to work on increasingly large and complex datasets that are larger than RAM.
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.
Provide advice on emerging data science methods, tools, algorithms, training, or requirements to advance DIA's analytic edge in its use of data science.
Work with DIA vendors and software developers to implement distributed algorithms to work on increasingly large and complex data sets.
Review and evaluate OBI documentation submitted by advanced analytic owners to 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 data and AA owners, developers, and stakeholders on OBI governance and knowledge modeling, including best practices for system development, testing, and deployment.
Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language.
Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language.
Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards.
Collaborate with the Computer Scientist to develop and implement testing methodologies for system validation and evaluation.
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 across the organization.
Design and execute TEVV protocols to evaluate the performance, robustness, and fairness of systems in all source analysis contexts.
Develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement.
Collaborate with stakeholders to develop and implement corrective actions to address TEVV findings.
Develop and track performance metrics to evaluate the effectiveness of systems in all source analysis.
Analyze and interpret performance metrics to identify trends, patterns, and areas for improvement.
Collaborate with stakeholders to develop and implement data‑driven decision‑making processes to inform system development and improvement.
Develop and refine methodologies for evaluating system performance, robustness, and fairness in all source analysis contexts.
Collaborate with stakeholders to develop and implement best practices for system development, testing, and deployment.
Support capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.
Here’s what you need:
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 a U.S. Department of Education‑recognized agency.
Demonstrated comprehensive mission knowledge and skills that affirm completion of all developmental training and related experiences.
Demonstrated ability to communicate understanding of information that may be incomplete, indirect, highly complex, seemingly unrelated, 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.
Bonus points if you have:
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.
Security Clearance:
Active TS/SCI
Education:
Master’s degree
Work Schedule:
Monday – Friday, 8 hours each day
Benefits: Cydecor offers a comprehensive compensation package including 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 and more.
What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Cydecor has the responsibility to create and sustain an inclusive environment.
Equal Employment Opportunity Statement Cydecor is an Equal Employment Opportunity/Affirmative Action Employer (EEO/AA). All employment and hiring decisions are based on qualifications, merit, and business needs without regard to race, religion, color, sexual orientation, nationality, gender, ethnic origin, disability, age, sex, gender identity & expression, veteran status, marital status, or any other characteristic protected by applicable law. If you are a qualified individual with a disability and/or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site because of your disability. You can request assistance by contacting HR@cydecor.com or calling 703‑884‑2105.
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