Affordability Analyst/Acquisition Data Scientist

Overview Are you seeking an opportunity to implement novel analytic processes and methods that improve acquisition program cost and schedule execution? Are you motivated by taking disparate data sources and building structured analytic frameworks that support important resource allocation decisions? If so, we are looking for an Acquisition Data Scientist to help develop next‑generation project management cost and schedule control techniques across the full data science pipeline in support of DoD/US Government sponsors. You will join a hardworking team of analysts and contribute to network‑based schedule risk assessments, trade‑space studies, affordability studies, and earned value management forecasting. Responsibilities Aggregate cost and parametric data of government projects through structured and unstructured research to improve or generate cost‑estimating relationships. Contribute to studies that quantify best‑value assessments through affordability analysis, decision frameworks, data visualization, sensitivity analysis, and data management. Build cost and schedule estimates integrating statistical analysis, network science, modeling & simulation, cost databases, and expert opinion in Excel, MATLAB, Python, R, and cost estimating software. Design, implement, and operationalize data‑operations pipelines that support scalable and reliable data analytics across defense acquisition programs. Collaborate with APL staff from all sectors and departments on technical studies across land, sea, air, space, and cyberspace domains. Qualifications – Minimum Bachelor's degree in data science, business analytics, statistics, economics, computer science, mathematics, engineering, or operations research. Experience organizing data into flexible, scalable, and reusable structures, performing comprehensive data analysis, and establishing data‑management frameworks. Proficiency in Python and SQL programming. Knowledge of statistical analysis and simulation packages such as Python (SciPy, iGraph, statsmodels, PyMC, NumPy), R, Stata, SAS, JMP, MATLAB, @Risk, etc. Ability to obtain an Interim Secret clearance by start date and ultimately a Secret clearance. U.S. citizenship required. Preferred Master's or Ph.D. in a related field. Programming experience in Java, JavaScript, or C++. Certification related to cost analysis (DAWIA or CCEA) and/or earned value management (EVMP). Domain expertise in creating data‑analysis dashboards through Shiny, Python, JavaScript, CSS, Visual Basic, Tableau, etc. Compensation Minimum: $85,000 Annually. Maximum: $195,000 Annually. Benefits APL provides a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short‑term disability, long‑term disability, flexible spending accounts, education assistance, and training and development. EEO Statement All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact View email address on click.appcast.io. #J-18808-Ljbffr Johns Hopkins Applied Physics Laboratory