QinetiQ US
Job Senior Data Scientist
QinetiQ US - Washington, District of Columbia, us, 20022
Work at QinetiQ US
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Overview
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. Location: Washington, D.C. Metropolitan Area. Responsibilities
Apply appropriate mathematical methods to statistically analyze data sets using R or Python Being able to work with one or more of the following: 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, including but not limited to: Data Science, Computer Science, Computational Science, Computer Engineering, Statistics, Applied Mathematics, Artificial Intelligence (AI), Machine Learning, Operations Research, Information Systems, Business Analytics. Minimum ten years of relevant experience or B.S in business, technical, engineering, or related field, or equivalent work experience with 15+ years of experience Experienced working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer. Demonstrated proficiency in R and Python, and familiarity with other leading statistical and data analytical software and frameworks, e.g., Databricks, Qlik. Proven ability to produce executive level summary reports/briefings of algorithm results using RMarkdown or Jupyter Notebook. Experience implementing the Data Analysis Epicycle and skilled in performing multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining. Direct experience interfacing with federal agencies, as an employee or contractor preferably at 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 job-relevant fields, including, but not limited to: Advanced Data Science: Certified Senior Data Scientist (CSDS); Certified Analytics Professional (CAP) Machine Learning and AI: Microsoft Azure AI Engineer Associate or Azure Data Scientist Associate; AWS Certified Machine Learning Specialty; Google Professional Machine Learning Engineer or Databricks equivalent 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@ 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.
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. Location: Washington, D.C. Metropolitan Area. Responsibilities
Apply appropriate mathematical methods to statistically analyze data sets using R or Python Being able to work with one or more of the following: 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, including but not limited to: Data Science, Computer Science, Computational Science, Computer Engineering, Statistics, Applied Mathematics, Artificial Intelligence (AI), Machine Learning, Operations Research, Information Systems, Business Analytics. Minimum ten years of relevant experience or B.S in business, technical, engineering, or related field, or equivalent work experience with 15+ years of experience Experienced working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer. Demonstrated proficiency in R and Python, and familiarity with other leading statistical and data analytical software and frameworks, e.g., Databricks, Qlik. Proven ability to produce executive level summary reports/briefings of algorithm results using RMarkdown or Jupyter Notebook. Experience implementing the Data Analysis Epicycle and skilled in performing multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining. Direct experience interfacing with federal agencies, as an employee or contractor preferably at 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 job-relevant fields, including, but not limited to: Advanced Data Science: Certified Senior Data Scientist (CSDS); Certified Analytics Professional (CAP) Machine Learning and AI: Microsoft Azure AI Engineer Associate or Azure Data Scientist Associate; AWS Certified Machine Learning Specialty; Google Professional Machine Learning Engineer or Databricks equivalent 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@ 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.