Applied AI and data engineering for government and enterprise
Elder Research is a 51–200-person data science and engineering firm founded in 1995, now under MANTECH ownership. The stack—AWS/Azure, Python, Spark, Kafka, SageMaker, Vertex AI—reflects a mature, cloud-native engineering practice serving large organizations and government agencies. Active projects cluster heavily around scalable pipelines, production ML deployment, and analytics dashboards (Power BI, Advana), while pain points center on legacy modernization and mission-critical data system optimization. Hiring is senior-skewed (11 of 22 open roles) with a 2:1 data-to-engineering ratio, suggesting both deep technical bench building and a services-delivery model.
Notable leadership hires: AI/ML Lead
Elder Research delivers applied machine learning, data engineering, and data strategy work to large organizations and U.S. government agencies. Founded in 1995 and now part of MANTECH, the firm operates from Charlottesville, VA with expertise spanning predictive analytics, text mining, fraud detection, and customer segmentation. Projects range from scalable cloud pipelines (AWS/Azure) and analytics infrastructure to responsible AI gap analysis and policy alignment—reflecting a client base navigating both technical modernization and regulatory risk. The company pairs hands-on model development with training and change management to drive adoption at scale.
Primary stack includes AWS (Lambda, Glue, SageMaker, CDK), Azure, and Google Cloud. Python, Spark, and Kafka form the core data-processing layer; Terraform and IAM manage infrastructure.
Active work includes scalable data pipelines in Azure, production ML deployment, Power BI dashboards, responsible AI gap analysis, and mission-critical data system optimization for government and enterprise clients.
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