div>Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content.
Bethesda, Maryland30+ days ago
You will design and prepare analytical datasets, conduct exploratory and statistical analysis, develop and maintain machine learning and forecasting models, configure and deploy AI/ML products, build interactive dashboards, and clearly communicate insights to higher education leaders and staff. Developing classification models to predict admitted student yield, enrolled student retention, or on-time graduation, and presenting results to university leaders designing programs to improve student outcomes and support institutional success.
Springfield, VA22 days ago
Working and leading other data scientist, you will architect end‑to‑end analytic workflows-data engineering, modeling, validation, cloud deployment-and translate mission needs into executable technical solutions. Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Rockville, Maryland30+ days ago
Design and implement models within key AMT areas of interest including: Pharmaceutical supply chain and chemical synthesis; Novel drug manufacturing technologies such as flow chemistry, process analytical technologies (PAT), pharmaceutical 3D printing; Environmental impact and total lifecycle analysis of pharmaceutical manufacturing and optimization against environmental impacts, cost of production. • Independently design, create, validate, and continually refine scalable multivariate models using machine learning algorithms such as gradient boosting, partial least squares (PLS), support vector machines, and neural networks along with advanced feature engineering, validation, and .
Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Must have previous Provider data experience working with leadership on provider data issues, accuracy, and provider data interactions with claims and claims platforms.
There are recurring opportunities on this team for Analytic / BigData Software Developers, Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers, Python Developers, Geospatial (GIS) Developers, ETL Developers, Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration Experts, and Geospatial Systems Engineers. The customer is excellent to work with, and there is a healthy mix of customer-driven requirements and team-driven ideas / innovation: engineers typically have freedom in choosing how to do things and which technologies to utilize.
McLean, Virginia30+ days ago
div>Collaborate with Data Engineers and MLOps/LLMOps teams to operationalize models, including pipeline automation, monitoring, drift detection, and retraining strategies. .