Principal Data Scientist

Summary

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Required:

· Master's degree in Data Science, Operations Research, Applied Mathematics, Statistics, Computer Science, or a related quantitative discipline with 12 years of relevant experience

· Demonstrated experience applying data science, statistical analysis, or quantitative methods to solve complex operational, technical, or business problems

· Proficiency with Python and commonly used scientific and data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Plotly, or comparable tools)

· Experience developing analytical applications, dashboards, visualizations, or decision-support tools, including web-based solutions deployed in modern computing environments

· Experience developing, managing, and automating data collection, integration, transformation, and analysis workflows

· Experience working with structured and unstructured data from multiple sources

· Experience analyzing data generated through modeling and simulation environments

· Ability to communicate complex technical concepts and analytical results to diverse audiences, including senior decision-makers

· Experience working collaboratively within multidisciplinary teams consisting of technical and non-technical personnel

· Strong written and verbal communication skills

• · Current Top Secret clearance with ability to obtain and maintain Sensitive Compartmented Information (SCI) and Special Access Program (SAP) eligibility

Job Description

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Required:

· Master's degree in Data Science, Operations Research, Applied Mathematics, Statistics, Computer Science, or a related quantitative discipline with 12 years of relevant experience

· Demonstrated experience applying data science, statistical analysis, or quantitative methods to solve complex operational, technical, or business problems

· Proficiency with Python and commonly used scientific and data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Plotly, or comparable tools)

· Experience developing analytical applications, dashboards, visualizations, or decision-support tools, including web-based solutions deployed in modern computing environments

· Experience developing, managing, and automating data collection, integration, transformation, and analysis workflows

· Experience working with structured and unstructured data from multiple sources

· Experience analyzing data generated through modeling and simulation environments

· Ability to communicate complex technical concepts and analytical results to diverse audiences, including senior decision-makers

· Experience working collaboratively within multidisciplinary teams consisting of technical and non-technical personnel

· Strong written and verbal communication skills

• · Current Top Secret clearance with ability to obtain and maintain Sensitive Compartmented Information (SCI) and Special Access Program (SAP) eligibility