Prescient Edge
Mid Data Scientist
Prescient Edge, Quantico, Virginia, United States, 22134
Job Title
Mid Data Scientist
Location
Quantico, VA 22134 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Bachelor's Degree
Travel
None
Security Clearance Required
TS/SCI with CI Polygraph
Job Description
Prescient Edge is seeking a
Mid. Data Scientist
to support a federal government client.
Benefits:
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. Security Clearance:
Security clearance required TS/SCI with a CI POLY or the ability to obtain one. Job Requirements
Description:
Conduct 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. Knowledge of retrieving information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Knowledge of creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, applies data mining techniques, and builds high quality prediction systems. 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. Experience with large data multi-INT analytics, ML, and automated predictive analytics. Provide 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. Write 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. Experience with large data, spatial data, Multi-INT analytics, ML, and automated predictive analytics. Knowledge of working with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, develop data schemas to structure observations. 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. Conduct, 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. Knowledgeable on providing advice on emerging data science methods, tools, algorithms, training, or requirements to advance OCI's use of data science. When directed, works with vendors and the software developers to implement distributed algorithms to work on increasingly large and complex data sets. Possess a professional or graduate certificate in data science from a university, major online learning platform (all business for Data Scientists at any experience level). Desired Experience:
Desired experience minimum 8 years of experience related 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. Location:
Quantico, VA.
Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.
Mid Data Scientist
Location
Quantico, VA 22134 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Bachelor's Degree
Travel
None
Security Clearance Required
TS/SCI with CI Polygraph
Job Description
Prescient Edge is seeking a
Mid. Data Scientist
to support a federal government client.
Benefits:
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. Security Clearance:
Security clearance required TS/SCI with a CI POLY or the ability to obtain one. Job Requirements
Description:
Conduct 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. Knowledge of retrieving information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Knowledge of creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, applies data mining techniques, and builds high quality prediction systems. 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. Experience with large data multi-INT analytics, ML, and automated predictive analytics. Provide 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. Write 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. Experience with large data, spatial data, Multi-INT analytics, ML, and automated predictive analytics. Knowledge of working with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, develop data schemas to structure observations. 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. Conduct, 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. Knowledgeable on providing advice on emerging data science methods, tools, algorithms, training, or requirements to advance OCI's use of data science. When directed, works with vendors and the software developers to implement distributed algorithms to work on increasingly large and complex data sets. Possess a professional or graduate certificate in data science from a university, major online learning platform (all business for Data Scientists at any experience level). Desired Experience:
Desired experience minimum 8 years of experience related 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. Location:
Quantico, VA.
Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.