Data Scientist

Join our team at Core One! Our mission is to be at the forefront of devising analytical operational and technical solutions to our Nations most complex national security order to achieve our mission Core One values people first! We are committed to recruiting nurturing and retaining top talent! We offer a competitive total compensation package that sets us apart from our competition. Core One is a team-oriented dynamic and growing company that values exceptional performance!

*This position requires a TS/SCI Clearance.*

*This position is contingent on award*

*This position may require up to six months of deployment annually*

• Conduct data analytics data engineering data mining exploratory analysis predictive analysis and statistical analysis across large and complex datasets to support intelligence and mission requirements.
• Collect retrieve integrate and transform data from disparate sources to identify relationships trends patterns and insights that support informed analytical and operational decision-making.
• Apply scientific statistical and computational techniques to correlate and interpret data and produce graphical written visual and verbal analytical products.
• Design develop test and implement machine learning (ML) models artificial intelligence (AI) tools and automated analytical processes to improve data processing analysis and mission workflows.
• Develop ML-enabled applications and processes including recommendation engines automated lead-scoring systems classification models predictive models and other automated decision-support capabilities.
• Develop train evaluate and optimize statistical and machine learning models to produce accurate scalable and reliable predictive analytics.
• Apply data mining techniques and statistical methodologies to identify trends correlations anomalies and predictive indicators within large and complex datasets.
• Integrate and merge structured and unstructured data from multiple and disparate sources using R Python SQL and other appropriate data engineering and analytical tools.
• Develop and maintain data pipelines analytical workflows and automated processes to support the collection transformation analysis and visualization of large datasets.
• Conduct large-scale Multi-INT data analytics by integrating and analyzing data from multiple intelligence disciplines sources and formats to identify relationships patterns and actionable insights.
• Apply machine learning and automated predictive analytics techniques to large datasets to support intelligence production forecasting pattern recognition and identification of emerging trends.
• Develop data visualizations dashboards charts and graphical products using tools such as Microsoft Power BI and Tableau to communicate complex analytical findings to technical and non-technical audiences.
• Develop and maintain analytical code scripts models and supporting documentation using data science languages and technologies including R Python and SQL.
• Evaluate the performance accuracy scalability and reliability of analytical models and automated processes and implement enhancements based on testing and analytical results.
• Translate complex data science and analytical findings into clear written visual and verbal products that support mission stakeholders and enable data-driven decision-making.

• Junior: Minimum of one year of experience conducting analysis relevant to this Labor Category
• Mid: Minimum of three (3) years of experience conducting analysis relevant to this Labor Category
• Senior: Minimum of eight (8) years of experience conducting analysis relevant to this Labor Category
• Expert: Minimum of twelve (12) years of experience conducting analysis relevant to this Labor Category

• Working knowledge of data science data engineering data analytics data mining statistical analysis exploratory analysis predictive analytics and machine learning concepts applicable to intelligence and mission requirements.
• Experience applying data science and analytical techniques to large complex and disparate datasets to identify trends patterns correlations anomalies and actionable insights.
• Experience collecting cleaning transforming integrating and managing structured and unstructured data from multiple sources using technologies such as Python R SQL and other appropriate data engineering tools.
• Experience developing testing evaluating and implementing machine learning models artificial intelligence tools predictive analytics and automated data-processing solutions.
• Experience applying statistical methods and data mining algorithms to develop predictive models classification systems recommendation engines automated lead-scoring systems and other ML-enabled analytical capabilities.
• Experience developing and optimizing data pipelines analytical workflows scripts and automated processes to improve the efficiency scalability accuracy and repeatability of data analysis.
• Experience conducting large-scale Multi-INT analytics by integrating and analyzing data from multiple intelligence disciplines sources systems and formats.
• Experience evaluating the performance accuracy reliability and applicability of statistical and machine learning models and refining models based on analytical results and validation.
• Experience developing data visualizations dashboards graphical products and analytical presentations using tools such as Microsoft Power BI Tableau Excel and other visualization platforms.
• Experience translating complex data science statistical and machine learning results into concise written graphical visual and verbal products that communicate findings and support data-driven decision-making.
• Experience applying logical and analytical reasoning to evaluate information from multiple sources identify relationships and inconsistencies assess the significance and implications of analytical results and develop well-supported conclusions.
• Experience conducting structured research and maintaining data analytical models code documentation and supporting information in accordance with applicable security classification data governance and information management requirements.
• Knowledge of Intelligence Community (IC) and Department of Defense (DoD) classification security and data-handling requirements and experience applying those requirements when processing analyzing storing and presenting intelligence-related data.
• Experience working independently or with limited supervision to plan prioritize and execute data science and analytical activities while incorporating technical guidance and feedback from project or mission leadership.
• Ability to communicate complex technical and analytical concepts clearly and concisely to both technical and non-technical audiences through written products briefings visualizations dashboards and verbal presentations.
• Experience identifying data quality issues inconsistencies biases and anomalies and applying appropriate analytical or technical approaches to resolve discrepancies and improve the reliability of analytical results.

• TS/SCI Clearance

This range reflects Core One Solutions current good-faith estimate for this labor category based on proposed contract pricing and comparable labor category rates. As this position is contingent upon contract award final compensation will be confirmed based on the awarded contracts negotiated rates applicable wage determinations clearance requirements and the selected candidates experience and qualifications.

Core One is anEqual Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex gender identity sexual orientationnational origin or protected veteran status and will not be discriminated against on the basis of disability.

PRESENTPRESENTPRESENTPRESENT

PRESENT

PRESENTPRESENT

PRESENT