QinetiQ U.S.
Data Scientist II
Location: US-DC-Washington Job ID: 2025-11789 Posted Date: Data Analytics
Company Overview We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).
QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.
Why Join QinetiQ US?
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.
Position Overview QinetiQ US seeks a talented Mid-Level Data Scientist to support a federal law enforcement agency client. This role supports the collection, analysis, and interpretation of complex law enforcement data to drive data quality improvements and enhance operational efficiency for the agency. Working under the guidance of senior team members, you will utilize platforms such as Databricks, Oracle (OBIEE/OAS), UiPath, Python, R, VBA, and SQL to identify data quality issues, develop automated solutions, and extract insights from complex datasets supporting agency operations. You should be able to communicate technical findings effectively to federal government clients and law enforcement personnel.
Responsibilities Data Quality Analysis & Support
Apply mathematical methods to statistically analyze agency datasets using R or Python to identify data quality issues and patterns
Support development and implementation of predictive modeling for early detection of data quality problems
Assist in developing algorithms for automated data quality validation and error remediation
Support implementation of the Data Analysis Epicycle and assist with multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining on law enforcement data
Technology Platform Support
Work with platforms including: Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, SQL, and data visualization tools
Support development of automation tools for data quality monitoring and remediation
Perform queries, conduct analysis, and produce reports utilizing SQL, Python, R, MS Access, and MS Excel
Assist in creating and maintaining automated workflows using UiPath
Data Engineering & Integration
Assist in development of data quality validation processes for agency systems
Support work with federal law enforcement categorical data from flat files, data warehouses, and external sources
Help maintain data accuracy and integrity processes for agency reporting systems
Support extract, transform, load (ETL) operations with data quality checkpoints
Assist in ensuring accuracy of data uploaded to UIP DQI Verify
Reporting & Communication
Assist in producing executive-level summary reports of data quality analysis results using RMarkdown or Jupyter Notebook
Support creation of audit reports for agency Dashboards ensuring accuracy, completeness, and usability standards
Participate in monthly teleconferences with field offices and data quality POCs
Create visualizations and dashboards that effectively communicate data quality metrics and trends
D Q I Operations Support
Help identify potential agency data quality issues and support development of resolution methods
Assist in addressing training gaps and providing recommendations for system usability improvements
Support evaluation and resolution of historical data errors in law enforcement systems
Contribute to development of training materials and documentation in Confluence
Assist with monitoring and responding to agency mailbox inquiries
Quality Assurance Support
Support audits of agency Dashboards for accuracy, format, completeness, and usability
Assist in validation of titles, footnotes, data sources, and underlying data
Help leverage audit results to inform future data quality priorities
Contribute to development of data quality standards and best practices
Required Qualifications Education & Experience
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, Business Analytics, or related technical field
Minimum 3+ years of relevant data science and analytics experience
Technical Skills
Proficiency in Python, R, and SQL, with familiarity in statistical and data analytical software including Databricks and Oracle systems
Experience with VBA and basic automation tools
Ability to produce summary reports using RMarkdown or Jupyter Notebook
Experience with data analysis methodologies and statistical techniques such as MCA, PCA, and association rule mining
Experience working with government or enterprise data from various sources
Federal Experience
Interest in supporting federal law enforcement agencies and understanding of government data requirements
Ability to communicate technical concepts clearly to federal government stakeholders and law enforcement personnel
Understanding of data security and compliance requirements in government environments
Security Requirements
Ability to obtain and maintain appropriate federal security clearance.
Background investigation required.
Must be U.S. citizen.
Preferred Qualifications
Experience supporting DHS operations or similar law enforcement data systems
Experience with federal homeland security or immigration enforcement data initiatives
Knowledge of data quality frameworks and best practices in government environments
Experience with dashboard development and data visualization for law enforcement operations
Familiarity with federal data governance and compliance requirements
Professional Certifications (Optional):
Advanced Data Science: Certified Senior Data Scientist (CSDS); Certified Analytics Professional (CAP)
Automation & Integration: UiPath Advanced RPA Developer; Oracle Analytics Cloud certifications
Machine Learning and AI: Microsoft Azure AI Engineer Associate; AWS Certified Machine Learning; Databricks Machine Learning Professional
Company EEO Statement Accessibility/Accommodation: If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.
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.
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Location: US-DC-Washington Job ID: 2025-11789 Posted Date: Data Analytics
Company Overview We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).
QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.
Why Join QinetiQ US?
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.
Position Overview QinetiQ US seeks a talented Mid-Level Data Scientist to support a federal law enforcement agency client. This role supports the collection, analysis, and interpretation of complex law enforcement data to drive data quality improvements and enhance operational efficiency for the agency. Working under the guidance of senior team members, you will utilize platforms such as Databricks, Oracle (OBIEE/OAS), UiPath, Python, R, VBA, and SQL to identify data quality issues, develop automated solutions, and extract insights from complex datasets supporting agency operations. You should be able to communicate technical findings effectively to federal government clients and law enforcement personnel.
Responsibilities Data Quality Analysis & Support
Apply mathematical methods to statistically analyze agency datasets using R or Python to identify data quality issues and patterns
Support development and implementation of predictive modeling for early detection of data quality problems
Assist in developing algorithms for automated data quality validation and error remediation
Support implementation of the Data Analysis Epicycle and assist with multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining on law enforcement data
Technology Platform Support
Work with platforms including: Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, SQL, and data visualization tools
Support development of automation tools for data quality monitoring and remediation
Perform queries, conduct analysis, and produce reports utilizing SQL, Python, R, MS Access, and MS Excel
Assist in creating and maintaining automated workflows using UiPath
Data Engineering & Integration
Assist in development of data quality validation processes for agency systems
Support work with federal law enforcement categorical data from flat files, data warehouses, and external sources
Help maintain data accuracy and integrity processes for agency reporting systems
Support extract, transform, load (ETL) operations with data quality checkpoints
Assist in ensuring accuracy of data uploaded to UIP DQI Verify
Reporting & Communication
Assist in producing executive-level summary reports of data quality analysis results using RMarkdown or Jupyter Notebook
Support creation of audit reports for agency Dashboards ensuring accuracy, completeness, and usability standards
Participate in monthly teleconferences with field offices and data quality POCs
Create visualizations and dashboards that effectively communicate data quality metrics and trends
D Q I Operations Support
Help identify potential agency data quality issues and support development of resolution methods
Assist in addressing training gaps and providing recommendations for system usability improvements
Support evaluation and resolution of historical data errors in law enforcement systems
Contribute to development of training materials and documentation in Confluence
Assist with monitoring and responding to agency mailbox inquiries
Quality Assurance Support
Support audits of agency Dashboards for accuracy, format, completeness, and usability
Assist in validation of titles, footnotes, data sources, and underlying data
Help leverage audit results to inform future data quality priorities
Contribute to development of data quality standards and best practices
Required Qualifications Education & Experience
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, Business Analytics, or related technical field
Minimum 3+ years of relevant data science and analytics experience
Technical Skills
Proficiency in Python, R, and SQL, with familiarity in statistical and data analytical software including Databricks and Oracle systems
Experience with VBA and basic automation tools
Ability to produce summary reports using RMarkdown or Jupyter Notebook
Experience with data analysis methodologies and statistical techniques such as MCA, PCA, and association rule mining
Experience working with government or enterprise data from various sources
Federal Experience
Interest in supporting federal law enforcement agencies and understanding of government data requirements
Ability to communicate technical concepts clearly to federal government stakeholders and law enforcement personnel
Understanding of data security and compliance requirements in government environments
Security Requirements
Ability to obtain and maintain appropriate federal security clearance.
Background investigation required.
Must be U.S. citizen.
Preferred Qualifications
Experience supporting DHS operations or similar law enforcement data systems
Experience with federal homeland security or immigration enforcement data initiatives
Knowledge of data quality frameworks and best practices in government environments
Experience with dashboard development and data visualization for law enforcement operations
Familiarity with federal data governance and compliance requirements
Professional Certifications (Optional):
Advanced Data Science: Certified Senior Data Scientist (CSDS); Certified Analytics Professional (CAP)
Automation & Integration: UiPath Advanced RPA Developer; Oracle Analytics Cloud certifications
Machine Learning and AI: Microsoft Azure AI Engineer Associate; AWS Certified Machine Learning; Databricks Machine Learning Professional
Company EEO Statement Accessibility/Accommodation: If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.
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.
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