Senior Data Scientist

QinetiQ

  • Virginia
  • Permanent
  • Full-time
  • 2 months ago
Company Overview:We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.Why Join QinetiQ US?If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives. 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 a 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@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.

QinetiQ