QinetiQ US (formerly Avantus Federal)
Senior Data Scientist
QinetiQ US (formerly Avantus Federal), Washington, District of Columbia, us, 20022
Overview
QinetiQ US seeks a highly skilled Senior Data Scientist to support a federal law enforcement agency client. This role is responsible for collecting, analyzing, and interpreting law enforcement data to drive informed operational decisions and improve data quality across agency systems. Your expertise in utilizing Databricks, Oracle (OBIEE/OAS), UiPath, Python programming, SQL, and data visualization will be crucial in identifying data quality issues, developing automated solutions, and providing valuable recommendations to federal stakeholders. Responsibilities
Data Quality Analysis & Engineering: Apply appropriate mathematical methods to statistically analyze agency data quality issues using Python, R, and SQL Data Quality Tools & Automation: Create tools for identifying, monitoring, and implementing data quality solutions utilizing Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, and SQL Automated data quality remediation: Develop algorithms for automated data quality error remediation and validation processes Data accuracy: Ensure accuracy of data uploaded to agency systems Advanced Analytics & Automation: Conceptualize, plan, design, and develop machine learning algorithms for data quality optimization and automated error detection Predictive modeling: Implement predictive models to identify potential data quality issues before they impact operations Statistical analysis: Perform MCA, PCA, and association rule mining on law enforcement datasets Automation: Develop automation solutions using emerging tools including UiPath for repetitive data quality tasks Reporting & Communication: Produce executive-level summary reports and briefings of data quality analysis results using RMarkdown, Jupyter Notebook, or equivalent tools Audits & dashboards: Create comprehensive audit reports for agency dashboards ensuring accuracy, completeness, and usability standards Data visualization: Develop data visualizations and dashboards for federal stakeholders to monitor data quality metrics Communication: Present complex technical findings to federal staff and law enforcement personnel in accessible language Technical Support & Collaboration: Provide ad hoc after-hours support for emergency taskings requiring advanced analytics Collaboration: Collaborate with federal staff to identify and resolve historical data errors in law enforcement systems Documentation: Support development of training materials and system documentation for data quality processes Subject matter expertise: Serve as technical subject matter expert for cross-unit data quality initiatives Mentorship: Assist in the professional and technical development of fellow staff Required Qualifications
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, or related technical field Minimum 10 years of relevant data science and analytics experience Technical proficiency: Demonstrated proficiency in R and Python, and familiarity with other leading statistical and data analytical software and frameworks, including Databricks and Qlik Reporting: Proven ability to produce executive level summary reports/briefings using RMarkdown or Jupyter Notebook Statistical techniques: Experience implementing the Data Analysis Epicycle and skilled in performing MCA, PCA, and association rule mining Federal data experience: Experience working with federal government categorical data from flat files, data warehouses, and external/academic sources Security Requirements
Ability to obtain and maintain appropriate federal security clearance. Background investigation required. Must be U.S. citizen. Specialized Experience & Preferred Qualifications
Experience supporting federal homeland security initiatives Background in immigration enforcement, law enforcement operations, or related domains Experience with DHS systems and processes Familiarity with law enforcement operational requirements and data structures Professional Certifications (Optional)
Advanced Data Science: Certified Senior Data Scientist (CSDS); Certified Analytics Professional (CAP) Machine Learning & AI: Microsoft Azure AI Engineer Associate; Azure Data Scientist Associate; AWS Certified Machine Learning – Specialty; Google Professional Machine Learning Engineer; Databricks certified professional Additional Technical Skills
ArcGIS and geospatial analysis ServiceNow platform Microsoft Power Suite (Power BI, Power Apps, Power Automate) High-Performance Computing (HPC) GitHub and collaborative development practices EEO Statement & Accessibility
QinetiQ US is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. Accessibility/Accommodation: If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please email staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.
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QinetiQ US seeks a highly skilled Senior Data Scientist to support a federal law enforcement agency client. This role is responsible for collecting, analyzing, and interpreting law enforcement data to drive informed operational decisions and improve data quality across agency systems. Your expertise in utilizing Databricks, Oracle (OBIEE/OAS), UiPath, Python programming, SQL, and data visualization will be crucial in identifying data quality issues, developing automated solutions, and providing valuable recommendations to federal stakeholders. Responsibilities
Data Quality Analysis & Engineering: Apply appropriate mathematical methods to statistically analyze agency data quality issues using Python, R, and SQL Data Quality Tools & Automation: Create tools for identifying, monitoring, and implementing data quality solutions utilizing Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, and SQL Automated data quality remediation: Develop algorithms for automated data quality error remediation and validation processes Data accuracy: Ensure accuracy of data uploaded to agency systems Advanced Analytics & Automation: Conceptualize, plan, design, and develop machine learning algorithms for data quality optimization and automated error detection Predictive modeling: Implement predictive models to identify potential data quality issues before they impact operations Statistical analysis: Perform MCA, PCA, and association rule mining on law enforcement datasets Automation: Develop automation solutions using emerging tools including UiPath for repetitive data quality tasks Reporting & Communication: Produce executive-level summary reports and briefings of data quality analysis results using RMarkdown, Jupyter Notebook, or equivalent tools Audits & dashboards: Create comprehensive audit reports for agency dashboards ensuring accuracy, completeness, and usability standards Data visualization: Develop data visualizations and dashboards for federal stakeholders to monitor data quality metrics Communication: Present complex technical findings to federal staff and law enforcement personnel in accessible language Technical Support & Collaboration: Provide ad hoc after-hours support for emergency taskings requiring advanced analytics Collaboration: Collaborate with federal staff to identify and resolve historical data errors in law enforcement systems Documentation: Support development of training materials and system documentation for data quality processes Subject matter expertise: Serve as technical subject matter expert for cross-unit data quality initiatives Mentorship: Assist in the professional and technical development of fellow staff Required Qualifications
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, or related technical field Minimum 10 years of relevant data science and analytics experience Technical proficiency: Demonstrated proficiency in R and Python, and familiarity with other leading statistical and data analytical software and frameworks, including Databricks and Qlik Reporting: Proven ability to produce executive level summary reports/briefings using RMarkdown or Jupyter Notebook Statistical techniques: Experience implementing the Data Analysis Epicycle and skilled in performing MCA, PCA, and association rule mining Federal data experience: Experience working with federal government categorical data from flat files, data warehouses, and external/academic sources Security Requirements
Ability to obtain and maintain appropriate federal security clearance. Background investigation required. Must be U.S. citizen. Specialized Experience & Preferred Qualifications
Experience supporting federal homeland security initiatives Background in immigration enforcement, law enforcement operations, or related domains Experience with DHS systems and processes Familiarity with law enforcement operational requirements and data structures Professional Certifications (Optional)
Advanced Data Science: Certified Senior Data Scientist (CSDS); Certified Analytics Professional (CAP) Machine Learning & AI: Microsoft Azure AI Engineer Associate; Azure Data Scientist Associate; AWS Certified Machine Learning – Specialty; Google Professional Machine Learning Engineer; Databricks certified professional Additional Technical Skills
ArcGIS and geospatial analysis ServiceNow platform Microsoft Power Suite (Power BI, Power Apps, Power Automate) High-Performance Computing (HPC) GitHub and collaborative development practices EEO Statement & Accessibility
QinetiQ US is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. Accessibility/Accommodation: If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please email staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.
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