Prescient Edge
Senior Data Scientist
Prescient Edge, Mc Lean, Virginia, us, 22107
Prescient Edge is seeking a
Senior Data Scientist
to support federal government clients. 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. As a
Senior Data Scientist , you will: Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and use 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 about the data set, 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. 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. Design, prototype, test, and maintain software and web-based applications and content solutions to satisfy customer requirements. Support software and web architecture development, requirements analysis, process execution and evaluation, selection, and evaluation of COTS/GOTS tools, and integration (with both new and legacy systems). Work with and design, prototype, & deployment of complex asynchronous frameworks. Perform and oversee data engineering tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries to handle large datasets. Customize and oversee integration tools, warehouses, databases, and analytical systems. Have advanced experience with database design for big data, such as management of large data sets, and/or design and implementation of data stores to support analysis and scalable processing and storage for high frequency/high volume data pipelines. Configure and provide availability for data-access tools used by all data scientists. Work with and design, develop, and actively participate in open-source libraries and technologies such as the Netflix/Twitter stack or equivalent Microservices tooling such as Service Discovery, Circuit Breakers, and Software Load Balancing. Design, prototype, and integrate distributed caching frameworks such as EvCache and Redis. Work with Platforms as a Service such as AWS, Cloud, and OpenShift. Follow a formal design process using formal specifications, data flow diagrams, and other accepted design techniques and also adhere to laws, standards, and established guidelines for prototyping and delivery of software and web tools (e.g., software reuse, modifiable, efficient, reliable, understandable, fault tolerant). Provide software process management and configuration management throughout the software/web prototyping lifecycle. Collaborate between team members, participating in AGILE scrum for prototyping and product development, as needed. Aid in the development of strategies, roadmaps, standards, and reference architecture / implementation of prototypes into Enterprise tools. Develop and maintain current and planned state architectural documents such as Domain roadmaps, Standards, Patterns, reference architecture/implementation documents for Enterprise Applications. Develop full-stack and reference architecture designs for infrastructure across hybrid environments inclusive of cloud platforms. Have prior experience with large data Multi-INT analytics, ML, large language models, and automated predictive analytics. Solve complex problems with many variables using various security, network, storage, and computer platforms. Participate in the development of governance processes to ensure that objectives are achieved, risks are managed appropriately, and the organization's resources are used responsibly for the infrastructure landscape. Job Requirements Desired experiences: At least 8 years of professional experience with data science. Experience with software integration or testing, including analyzing and implementing test plans and scripts. Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics. Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. Demonstrates comprehensive mission knowledge and skills that affirm completion of all developmental training and experiences for the labor category. Ability to communicate understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, &/or technically advanced. Ability to work independently with minimal oversight and direction. Ability to collaborate and work with other IC members on information sharing, driving collection, and addressing analytic disputes and conflict resolution. Experience applying Structured Query Language (SQL), Non-Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform and Load (ETL) pipelines, Web Application Servers, or Search Index. Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests or Antigravity. Experience applying complex mathematical and statistical concepts. Experience applying statistical and operations research methods and tools. Experience employing spreadsheets for data manipulations and visualizations. Relevant industry certification such as CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)/CompTIA A+/CompTIA Security+/EMC Data Science Associates (EMCDSA)/Cloudera System Security Professional (CISSP)/Certified Cloud Professional (CCP) (Cloudera)/Microsoft Certified Professional Developer (MCPD)/Microsoft Certified Solution Developer (MCSD)/Microsoft Certified Solution Expert (MCSE)/Private Cloud/Certified Administrator for Apache Hadoop (CCAH) (Cloudera). Typical education: Security Clearance: Security clearance – Minimum of TS, with ability to get TS/SCI. Location: Remote, with possible Client Site Travel. 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.
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Senior Data Scientist
to support federal government clients. 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. As a
Senior Data Scientist , you will: Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and use 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 about the data set, 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. 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. Design, prototype, test, and maintain software and web-based applications and content solutions to satisfy customer requirements. Support software and web architecture development, requirements analysis, process execution and evaluation, selection, and evaluation of COTS/GOTS tools, and integration (with both new and legacy systems). Work with and design, prototype, & deployment of complex asynchronous frameworks. Perform and oversee data engineering tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries to handle large datasets. Customize and oversee integration tools, warehouses, databases, and analytical systems. Have advanced experience with database design for big data, such as management of large data sets, and/or design and implementation of data stores to support analysis and scalable processing and storage for high frequency/high volume data pipelines. Configure and provide availability for data-access tools used by all data scientists. Work with and design, develop, and actively participate in open-source libraries and technologies such as the Netflix/Twitter stack or equivalent Microservices tooling such as Service Discovery, Circuit Breakers, and Software Load Balancing. Design, prototype, and integrate distributed caching frameworks such as EvCache and Redis. Work with Platforms as a Service such as AWS, Cloud, and OpenShift. Follow a formal design process using formal specifications, data flow diagrams, and other accepted design techniques and also adhere to laws, standards, and established guidelines for prototyping and delivery of software and web tools (e.g., software reuse, modifiable, efficient, reliable, understandable, fault tolerant). Provide software process management and configuration management throughout the software/web prototyping lifecycle. Collaborate between team members, participating in AGILE scrum for prototyping and product development, as needed. Aid in the development of strategies, roadmaps, standards, and reference architecture / implementation of prototypes into Enterprise tools. Develop and maintain current and planned state architectural documents such as Domain roadmaps, Standards, Patterns, reference architecture/implementation documents for Enterprise Applications. Develop full-stack and reference architecture designs for infrastructure across hybrid environments inclusive of cloud platforms. Have prior experience with large data Multi-INT analytics, ML, large language models, and automated predictive analytics. Solve complex problems with many variables using various security, network, storage, and computer platforms. Participate in the development of governance processes to ensure that objectives are achieved, risks are managed appropriately, and the organization's resources are used responsibly for the infrastructure landscape. Job Requirements Desired experiences: At least 8 years of professional experience with data science. Experience with software integration or testing, including analyzing and implementing test plans and scripts. Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics. Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. Demonstrates comprehensive mission knowledge and skills that affirm completion of all developmental training and experiences for the labor category. Ability to communicate understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, &/or technically advanced. Ability to work independently with minimal oversight and direction. Ability to collaborate and work with other IC members on information sharing, driving collection, and addressing analytic disputes and conflict resolution. Experience applying Structured Query Language (SQL), Non-Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform and Load (ETL) pipelines, Web Application Servers, or Search Index. Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests or Antigravity. Experience applying complex mathematical and statistical concepts. Experience applying statistical and operations research methods and tools. Experience employing spreadsheets for data manipulations and visualizations. Relevant industry certification such as CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)/CompTIA A+/CompTIA Security+/EMC Data Science Associates (EMCDSA)/Cloudera System Security Professional (CISSP)/Certified Cloud Professional (CCP) (Cloudera)/Microsoft Certified Professional Developer (MCPD)/Microsoft Certified Solution Developer (MCSD)/Microsoft Certified Solution Expert (MCSE)/Private Cloud/Certified Administrator for Apache Hadoop (CCAH) (Cloudera). Typical education: Security Clearance: Security clearance – Minimum of TS, with ability to get TS/SCI. Location: Remote, with possible Client Site Travel. 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.
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