Mid. Data Scientist (OBI Advanced Analytic Method Augmentation) with Security Clearance

Prescient Edge; Washington (District of Columbia); On-site; USD 130,000 - 160,000; Full time

Job summary

Prescient Edge in the United States is seeking a Mid-level Data Scientist for OBI Advanced Analytic Method Augmentation. The role combines data analytics, data engineering, and ML to deliver all-source analytic products and AI-powered tools for decision making.

Candidates should be proficient in R, Python, SQL, Power BI or Tableau, and have experience with large data sets and multi-INT analytics. A data science certificate is preferred.

Qualifications

• Experience conducting data analytics and predictive modeling.
• Proven ability to build ML-based tools and dashboards.
• Familiarity with multi-INT analytics and visualization tools.

Responsibilities

• Designs and implements data analytics, data engineering, and predictive analytics workflows.
• Develops ML-based tools and automated processes for decision support.
• Creates visual narratives using Power BI or Tableau to communicate findings.
• Works with large, complex datasets and ensures data quality.
• Collaborates with stakeholders to translate requirements into analytic solutions.

Skills

Data analytics

Data engineering

Data mining

Exploratory analysis

Predictive modeling

Statistics

R

Python

SQL

Education

Data science certificate

Tools

Power BI

Tableau

SQL

Python

R

Job description

Mid. Data Scientist (OBI Advanced Analytic Method Augmentation)

Benefits & Compensation: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's 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.
• Salary range: $130,000 - $160,000. Salary to be determined by the education, experience, knowledge, skills and the abilities of the applicant internal equity, and alignment with market data 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.
• 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.
• 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.
• 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.
• 0 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.
• 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.
• 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 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.
• 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.
• Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.

Job Requirements Desired experiences

• At least 8 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years.

Desired Education

• Bachelor’s degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education.
• An additional 4 years of experience in the specific labor category, for a total of 12 years of experience in the specific labor category, may be substituted for a bachelor’s degree.

Security Clearance

• Security clearance required TS/SCI with CI POLY or the ability to obtain CI POLY.

Location

• NCR to include Maryland and Virginia.