Senior Data Scientist

Job Description Cape Fox is seeking a highly qualified Senior Data Scientist to support a government customer in addressing complex clinical and operational research challenges. The ideal candidate will bring deep expertise in data modeling, algorithm development, and predictive analytics to extract insights from large, diverse datasets. This role requires advanced skills in cleaning, aggregating, and managing data across multiple platforms, and applying innovative scientific and technical methods to solve real-world aeromedical operational problems. The selected candidate will collaborate closely with researchers, medical professionals, and government stakeholders, while also contributing to scientific literature and presentations. This position offers the opportunity to drive impactful, mission-critical research in a dynamic and highly collaborative environment. The salary range (or hiring range) for this exempt position has been established at: $, – $,. The above salary range represents the company’s good faith and reasonable estimate of the range of possible compensation at the time of posting. In addition, we offer a variety of benefits, including company holidays, paid time off, health insurance, dental insurance, vision insurance, life and disability insurance, tuition reimbursement, as well as a K with company matches. This job will be posted until filled or withdrawn. Core Duties: Design data modeling processes to create algorithms and predictive models and perform custom analysis, and identify trends in data sets Manipulate large clinical and operational data sets and use them to identify trends and reach meaningful conclusions based on research protocols Clean, aggregate, process, and organize data from disparate sources and transfer it to data warehouses while verifying the integrity of the data for analysis Utilize new techniques, innovations, and technical and scientific advancements as indicated to serve as a means of overcoming aeromedical operational issues Draft and/or edit study protocols, proposals, scientific abstracts, manuscripts, slide presentations, and posters as required Collaborate with professional colleagues, academic partners, medical professionals and government officials to achieve research goals Organize review of relevant scientific literature and attend meetings, as required, with government organizations, academia, and meetings with other experts in their field Travel Requirements 10 - 25% Salary Grade Job Requirements Master’s Degree in Data Science or related field, with extensive coursework in computer science, data science, data analytics, data engineering, data architecture, mathematics, probability, statistics, or mathematical logic, and at least 5 years of experience in their field Experience can be substituted with a PhD in Computer Science, Computational Geometry, or Data Science Demonstrated understanding of Topological Data Analysis, Machine Learning techniques and algorithms, as well as common data science toolkits and proficiency in using query languages such as SQL and ORACLE Expert knowledge in operations research and rigorous methods of scientific inquiry and analysis to include statistical analysis, machine learning, computer science, programming, and data storytelling. Must be professional, detail-oriented, possess excellent communication skills, and speak English fluently Ability to thrive in a team environment, yet able to complete assigned tasks independently or with minimal guidance from team leads Organizational skills; the ability to achieve set goals; initiative in performing assigned tasks; ability to follow-up complex projects with influence, and integrity; and ability to interact professionally with all levels of personnel within and outside of the organization Highly Desired Qualifications Have experience presenting research at scientific meetings and published in peer reviewed journals in Computational Geometry, Topological Data Analysis or Computational Topology Prior military experience, or previous experience working in a military research environment Must be able to pass a Tier 1 Background Investigation and Public Trust Must have authorization to work in the United States as defined by the Immigration Reform Act of