Prescient Edge is seeking a Sr. Data Scientist (OBI Advanced Analytic Method Augmentation) to support a federal government client. Please note that the availability of this position is contingent upon contract award.
Sr. Data Scientist (OBI Advanced Analytic Method Augmentation) Benefits:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyones success. To that end, we provide employees with a best-in-class benefits package that includes:
• A competitive salary with performance bonus opportunities. • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. • A substantial retirement plan with no vesting schedule. • Career development opportunities, including on-the-job training, tuition reimbursement, and networking. • A positive work environment where employees are respected, supported, and engaged.
Description:
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. Duties typically include creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
Performing Key Responsibilities:
• Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. • Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. • Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics. • Possesses a professional or graduate certificate in data science from a university, major online learning platform (all business for Data Scientists at any experience level).
Specific OBI Duties:
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.
Evaluating Data Science and AI Methods:
• Evaluates data science, Al, and other advanced analytic methods for risks, biases, and limitations that would distort conclusions. • Conducts continuous independent research on analytical methods used in government, industry, and academia to stay abreast of state-of-the-art advancements, and keeps senior leadership informed of relevant developments and their applicability to ongoing programs.
Utilizing In-Depth Knowledge:
• 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.
Research Studies:
• 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.
Key Skills and Experience:
• 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. • Possesses prior experience with large data, spatial data, multi-INT analytics, ML, and automated predictive analytics.
Working with Ambiguous Information:
• 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, ML, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all-source intelligence analysis and production.
Creating Distributed Analytic Environments:
• 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.
Providing Expertise and Guidance:
• Provides advice on emerging data science methods, tools, algorithms, training, or requirements to advance DIAs analytic edge in its use of data science. • Works 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 (AA) owners to ensure compliance with tradecraft standards and adherence to best practices in Al system development and deployment.
Assessing and Improving OBI Documentation:
• 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.
Collaborating with Stakeholders:
• 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.
Conducting Audits and Evaluations:
• 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.
Designing and Executing TEVV Protocols:
• 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.
Developing Performance Metrics and Corrective Actions:
• 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.
Supporting Capability Development:
• 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.
Supporting Government Owned/Controlled Source Version Control Repositories:
• Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.