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Quantitative Data Scientist Senior
ArtechUnited StatesLocation: Full-time onsite in McLean, VA 8100 Jones Branch Drive, McLean, Virginia, United States of America, 22102Salary Range: $144,000 - $216,000 All candidates must be eligible to work in the Unit
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Johns Hopkins Applied Physics Laboratory (APL)LaurelDescriptionAre you passionate about building solutions for our greatest national security challenges?Are you searching for engaging work with an employer that prioritizes impact, innovation, and perso
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AAreteNew YorkDescription Senior Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S., India
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SAICSpringfieldJob ID: 2610293Location: Springfield, VA, USDate Posted: 2026-03-24Category: Information TechnologySubcategory: Data ScientistSchedule: Full-TimeShift: Day JobTravel: NoMinimum Clearance Required: TS.
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Über
Salary Range: $144,000 - $216,000 All candidates must be eligible to work in the United States without sponsorship Introduction
Join our Multifamily Modeling Team to develop and execute statistical models and applications that support business and risk decisions. This role is vital in advancing the mission of making homeownership and rental housing more accessible and affordable by developing robust models for portfolio risk management.
Required Skills & Qualifications 5 years of experience with modeling, with at least 3 years in model testing and development. Master's degree in a quantitative field is required; a Doctorate is preferred. Experience with predictive modeling techniques and large data sets. Proficiency in programming languages such as SAS, Python, R, SQL, and MATLAB. Prior work experience in quantitative finance, statistics, economics, or a related field. Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications
Experience in statistical model development and implementation. Experience with software development and system setup for model application. Exceptional quantitative and analytics skills. Day-to-Day Responsibilities
Develop analytical methods and models for the collateral underlying mortgages. Conduct research on model enhancements and apply industry-standard processes. Implement statistical models in efficient software languages and modify source codes. Coordinate testing through model implementation and validate model forecast results. Prepare documentation for technical analytics to comply with model oversight. Company Benefits & Culture
Opportunities to work on impactful projects that support housing accessibility. Collaborative and innovative work environment. Commitment to professional growth and development.
For immediate consideration please click APPLY to begin the screening process with Alex.
Sprachkenntnisse
- English
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