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Position OverviewQinetiQ 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 & SupportApply mathematical methods to statistically analyze agency datasets using R or Python to identify data quality issues and patternsSupport development and implementation of predictive modeling for early detection of data quality problemsAssist in developing algorithms for automated data quality validation and error remediationSupport implementation of the Data Analysis Epicycle and assist with multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining on law enforcement dataTechnology Platform SupportWork with platforms including: Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, SQL, and data visualization toolsSupport development of automation tools for data quality monitoring and remediationPerform queries, conduct analysis, and produce reports utilizing SQL, Python, R, MS Access, and MS ExcelAssist in creating and maintaining automated workflows using UiPathData Engineering & IntegrationAssist in development of data quality validation processes for agency systemsSupport work with federal law enforcement categorical data from flat files, data warehouses, and external sourcesHelp maintain data accuracy and integrity processes for agency reporting systemsSupport extract, transform, load (ETL) operations with data quality checkpointsAssist in ensuring accuracy of data uploaded to UIP DQI VerifyReporting & CommunicationAssist in producing executive-level summary reports of data quality analysis results using RMarkdown or Jupyter NotebookSupport creation of audit reports for agency Dashboards ensuring accuracy, completeness, and usability standardsParticipate in monthly teleconferences with field offices and data quality POCsCreate visualizations and dashboards that effectively communicate data quality metrics and trendsDQI Operations SupportHelp identify potential agency data quality issues and support development of resolution methodsAssist in addressing training gaps and providing recommendations for system usability improvementsSupport evaluation and resolution of historical data errors in law enforcement systemsContribute to development of training materials and documentation in ConfluenceAssist with monitoring and responding to agency mailbox inquiriesQuality Assurance SupportSupport audits of agency Dashboards for accuracy, format, completeness, and usabilityAssist in validation of titles, footnotes, data sources, and underlying dataHelp leverage audit results to inform future data quality prioritiesContribute to development of data quality standards and best practices
Required Qualifications Education & ExperienceBachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, Business Analytics, or related technical fieldMinimum 3+ years of relevant data science and analytics experienceTechnical SkillsProficiency in Python, R, and SQL, with familiarity in statistical and data analytical software including Databricks and Oracle systemsExperience with VBA and basic automation toolsAbility to produce summary reports using RMarkdown or Jupyter NotebookExperience with data analysis methodologies and statistical techniques such as multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule miningExperience working with government or enterprise data from various sourcesFederal ExperienceInterest in supporting federal law enforcement agencies and understanding of government data requirementsAbility to communicate technical concepts clearly to federal government stakeholders and law enforcement personnelUnderstanding of data security and compliance requirements in government environmentsSecurity RequirementsAbility 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 systemsExperience with federal homeland security or immigration enforcement data initiativesKnowledge of data quality frameworks and best practices in government environmentsExperience with dashboard development and data visualization for law enforcement operationsFamiliarity 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 certificationsMachine 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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