QinetiQ US (formerly Avantus Federal)
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Senior Data Scientist
role at
QinetiQ US (formerly Avantus Federal) . Location: Washington, D.C. Metropolitan Area. Position Overview: QinetiQ US seeks a highly skilled
Sr Data Scientist
responsible for collecting, analyzing, and interpreting data to drive informed business decisions and improve operational efficiency. Your expertise in utilizing Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL will be crucial in extracting insights from complex datasets and providing valuable recommendations to stakeholders. Must have demonstrated experience explaining complex technical concepts in plain language to federal government clients. Responsibilities
Apply appropriate mathematical methods to statistically analyze data sets using R or Python Work with one or more of the following tools: Databricks, Qlik, Tableau, ArcGIS, GitHub, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL Modeling and simulation to include predictive and formulaic, discrete event simulation (DES), and network analysis Conceptualize, plan, design, and develop deep learning/artificial intelligence algorithms for multi-objective optimization and decision-making tools focused on solving resource allocation/prioritization problems Apply experience in implementing the Data Analysis Epicycle and performing multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining Develop algorithms in a High-Performance Computing (HPC) environment using custom multi-core desktop computers and Microsoft MPI Produce executive level summary reports/briefings of algorithm results using RMarkdown or Jupyter Notebook Perform queries, conduct analysis, and produce reports utilizing R, Databricks, SQL, MS Access, MS Excel Required Qualifications
MA/MS degree or PhD in a relevant field (e.g., Data Science, Computer Science, Computational Science, Computer Engineering, Statistics, Applied Mathematics, AI, ML, OR, Information Systems, Business Analytics) or equivalent experience Minimum ten years of relevant experience or B.S. with 15+ years of experience Experience with federal government categorical data from flat files, data warehouses, and external/academic sources; experience as a data scientist or ML engineer Proficiency in R and Python; familiarity with Databricks, Qlik Experience producing executive level summary reports/briefings of algorithm results using RMarkdown or Jupyter Notebook Experience implementing the Data Analysis Epicycle and performing MCA, PCA, and association rule mining Direct experience interfacing with federal agencies, preferably DHS Security Requirements
Ability to obtain and maintain appropriate federal security clearance Background investigation required Must be U.S. citizen Preferred Qualifications
Experience supporting federal homeland security initiatives Professional certifications in related fields, e.g., CSDS; CAP; Azure AI Engineer Associate; Azure Data Scientist Associate; AWS Certified Machine Learning Specialty; Google Professional ML Engineer or Databricks equivalent Company EEO Statement
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. #J-18808-Ljbffr
Senior Data Scientist
role at
QinetiQ US (formerly Avantus Federal) . Location: Washington, D.C. Metropolitan Area. Position Overview: QinetiQ US seeks a highly skilled
Sr Data Scientist
responsible for collecting, analyzing, and interpreting data to drive informed business decisions and improve operational efficiency. Your expertise in utilizing Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL will be crucial in extracting insights from complex datasets and providing valuable recommendations to stakeholders. Must have demonstrated experience explaining complex technical concepts in plain language to federal government clients. Responsibilities
Apply appropriate mathematical methods to statistically analyze data sets using R or Python Work with one or more of the following tools: Databricks, Qlik, Tableau, ArcGIS, GitHub, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL Modeling and simulation to include predictive and formulaic, discrete event simulation (DES), and network analysis Conceptualize, plan, design, and develop deep learning/artificial intelligence algorithms for multi-objective optimization and decision-making tools focused on solving resource allocation/prioritization problems Apply experience in implementing the Data Analysis Epicycle and performing multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining Develop algorithms in a High-Performance Computing (HPC) environment using custom multi-core desktop computers and Microsoft MPI Produce executive level summary reports/briefings of algorithm results using RMarkdown or Jupyter Notebook Perform queries, conduct analysis, and produce reports utilizing R, Databricks, SQL, MS Access, MS Excel Required Qualifications
MA/MS degree or PhD in a relevant field (e.g., Data Science, Computer Science, Computational Science, Computer Engineering, Statistics, Applied Mathematics, AI, ML, OR, Information Systems, Business Analytics) or equivalent experience Minimum ten years of relevant experience or B.S. with 15+ years of experience Experience with federal government categorical data from flat files, data warehouses, and external/academic sources; experience as a data scientist or ML engineer Proficiency in R and Python; familiarity with Databricks, Qlik Experience producing executive level summary reports/briefings of algorithm results using RMarkdown or Jupyter Notebook Experience implementing the Data Analysis Epicycle and performing MCA, PCA, and association rule mining Direct experience interfacing with federal agencies, preferably DHS Security Requirements
Ability to obtain and maintain appropriate federal security clearance Background investigation required Must be U.S. citizen Preferred Qualifications
Experience supporting federal homeland security initiatives Professional certifications in related fields, e.g., CSDS; CAP; Azure AI Engineer Associate; Azure Data Scientist Associate; AWS Certified Machine Learning Specialty; Google Professional ML Engineer or Databricks equivalent Company EEO Statement
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. #J-18808-Ljbffr