QinetiQ US seeks to support a federal law enforcement agency client by improving data quality and enhancing operational efficiency through the collection, analysis, and interpretation of complex law enforcement data.
Requirements
- Proficiency in Python, R, and SQL
- 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 multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining
- Experience working with government or enterprise data from various sources
- Knowledge of data quality frameworks and best practices in government environments
Responsibilities
- 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
- Work with platforms including: Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, SQL, and data visualization tools
- 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
Other
- 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
- Ability to obtain and maintain appropriate federal security clearance
- Background investigation required
- Must be U.S. citizen
- Interest in supporting federal law enforcement agencies and understanding of government data requirements
