QinetiQ US (formerly Avantus Federal)
Data Scientist - Junior
QinetiQ US (formerly Avantus Federal), Washington, District of Columbia, us, 20022
Overview
QinetiQ US seeks an enthusiastic Junior Data Scientist to join a federal law enforcement agency client. This entry-level role provides an excellent opportunity to begin a career in data science while supporting the agency with data analysis and insights. Working closely with senior team members, you will learn to utilize platforms such as Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL to support data analysis for the Law Enforcement Lifecycle. This role offers extensive mentorship and training opportunities while contributing to mission-critical federal operations. Responsibilities
Data Analysis & Learning Learn to apply basic mathematical methods to analyze datasets using R or Python under senior guidance Support data preparation, cleaning, and validation activities for agency systems Assist with basic statistical analysis and data exploration tasks Learn fundamental concepts of predictive modeling and discrete event simulation (DES) Participate in training on multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining Assist in the professional and technical development of fellow staff Technology Platform Exposure Gain hands-on experience with platforms including: Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python, and SQL Learn to perform basic queries and data extraction using SQL, MS Access, and MS Excel Support senior team members with data processing and analysis tasks Participate in training on High-Performance Computing (HPC) environments Data Processing Support Assist with basic data pipeline activities and data integration tasks Learn to work with federal government data from various sources under supervision Support data quality checks and validation processes Help with extract, transform, load (ETL) operations for law enforcement data Documentation & Reporting Learn to create basic reports and visualizations using tools like RMarkdown or Jupyter Notebook Assist in preparing data summaries and presentations for team review Support documentation of analytical processes and findings Practice communicating technical concepts to various audiences Administrative Support Participate in team meetings and training sessions Assist with project documentation and tracking Support ad-hoc data requests and analysis tasks Help maintain organized data files and project materials Professional Development Participate in mentorship programs with senior data scientists Attend training sessions on federal data requirements and security protocols Learn about agency systems and law enforcement operations Develop understanding of government data analysis standards and practices Required Qualifications
Education & Experience Bachelor\'s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or related technical field 0-2 years of relevant experience (new graduates welcome) Strong academic background in mathematics, statistics, or computer science Desired Technical Skills Basic proficiency in R or Python programming Fundamental understanding of statistics and data analysis concepts Familiarity with SQL and database concepts Basic experience with data visualization tools Understanding of Excel and basic data manipulation Strong analytical and problem-solving skills Security Requirements Ability to obtain and maintain appropriate federal security clearance. Background investigation required. Must be U.S. citizen. Preferred Qualifications Educational Background Coursework or projects involving data analysis, machine learning, or statistics Experience with programming languages beyond basic requirements Academic projects using real-world datasets Understanding of research methodologies Technical Exposure Familiarity with any business intelligence tools (Tableau, Power BI, etc.) Basic understanding of cloud computing platforms Exposure to version control systems like GitHub Understanding of data privacy and security concepts Additional Experience Internships or co-op experience in data analysis or related fields Academic research experience involving data Participation in data science competitions or projects Volunteer work involving data analysis Accessibility & Equal Opportunity
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. Accommodation requests for any part of the employment process can be sent to staffing@us.QinetiQ.com or by calling (540) 658-2720 Opt. 4. If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please let us know the nature of your request and contact information.
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QinetiQ US seeks an enthusiastic Junior Data Scientist to join a federal law enforcement agency client. This entry-level role provides an excellent opportunity to begin a career in data science while supporting the agency with data analysis and insights. Working closely with senior team members, you will learn to utilize platforms such as Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL to support data analysis for the Law Enforcement Lifecycle. This role offers extensive mentorship and training opportunities while contributing to mission-critical federal operations. Responsibilities
Data Analysis & Learning Learn to apply basic mathematical methods to analyze datasets using R or Python under senior guidance Support data preparation, cleaning, and validation activities for agency systems Assist with basic statistical analysis and data exploration tasks Learn fundamental concepts of predictive modeling and discrete event simulation (DES) Participate in training on multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining Assist in the professional and technical development of fellow staff Technology Platform Exposure Gain hands-on experience with platforms including: Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python, and SQL Learn to perform basic queries and data extraction using SQL, MS Access, and MS Excel Support senior team members with data processing and analysis tasks Participate in training on High-Performance Computing (HPC) environments Data Processing Support Assist with basic data pipeline activities and data integration tasks Learn to work with federal government data from various sources under supervision Support data quality checks and validation processes Help with extract, transform, load (ETL) operations for law enforcement data Documentation & Reporting Learn to create basic reports and visualizations using tools like RMarkdown or Jupyter Notebook Assist in preparing data summaries and presentations for team review Support documentation of analytical processes and findings Practice communicating technical concepts to various audiences Administrative Support Participate in team meetings and training sessions Assist with project documentation and tracking Support ad-hoc data requests and analysis tasks Help maintain organized data files and project materials Professional Development Participate in mentorship programs with senior data scientists Attend training sessions on federal data requirements and security protocols Learn about agency systems and law enforcement operations Develop understanding of government data analysis standards and practices Required Qualifications
Education & Experience Bachelor\'s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or related technical field 0-2 years of relevant experience (new graduates welcome) Strong academic background in mathematics, statistics, or computer science Desired Technical Skills Basic proficiency in R or Python programming Fundamental understanding of statistics and data analysis concepts Familiarity with SQL and database concepts Basic experience with data visualization tools Understanding of Excel and basic data manipulation Strong analytical and problem-solving skills Security Requirements Ability to obtain and maintain appropriate federal security clearance. Background investigation required. Must be U.S. citizen. Preferred Qualifications Educational Background Coursework or projects involving data analysis, machine learning, or statistics Experience with programming languages beyond basic requirements Academic projects using real-world datasets Understanding of research methodologies Technical Exposure Familiarity with any business intelligence tools (Tableau, Power BI, etc.) Basic understanding of cloud computing platforms Exposure to version control systems like GitHub Understanding of data privacy and security concepts Additional Experience Internships or co-op experience in data analysis or related fields Academic research experience involving data Participation in data science competitions or projects Volunteer work involving data analysis Accessibility & Equal Opportunity
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. Accommodation requests for any part of the employment process can be sent to staffing@us.QinetiQ.com or by calling (540) 658-2720 Opt. 4. If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please let us know the nature of your request and contact information.
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