Data Scientist

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September 21

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Redhorse Corporation

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Artificial Intelligence • Cybersecurity • Government

Redhorse Corporation is a technology-driven company specializing in providing innovative solutions to complex problems faced by government and defense organizations. With expertise in AI-driven innovation, cyber analytics, and data science, Redhorse focuses on transforming how governmental bodies interact with data and technology. The company prioritizes customer-centric, mission-focused partnerships to deliver impactful results and tackle challenges head-on. It serves markets including federal civilian, defense, intelligence, and homeland security, offering services that enable digital transformation, mission enablement, and infrastructure development.

201 - 500 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

🏛️ Government

📋 Description

• Support program initiatives from inception to deployment, ensuring alignment with CBM+ business and mission objectives. • Oversee data collection & processing, including implementation/sustainment of ETL pipelines, as well as cleaning and preprocess datasets for usage • Perform EDA, to include, performing statistical analysis and visualization to understand data patterns, identifying correlations, trends, and insights to drive product development • Lead ML model development using regression, classification, clustering, & deep learning while optimizing models for accuracy, performance, and scalability • Collaborate with a multi-functional team to integrate models into applications or APIs • Continuously monitor deployed models for performance drift and degradation.

🎯 Requirements

• US citizen with a Secret US government clearance. Applicants who are not US Citizens and who do not have a current active Secret security clearance will not be considered for this role. • Bachelor’s degree in a STEM field or proven equivalent professional experience. • 4 years of experience including applied NLP, data labeling, entity or keyword extraction, and related topics • Understanding and use of various statistical distributions and use for data modeling • Ability to foster positive business relationships • Strong communication skills capable of presenting technical findings to diverse audiences. • Must be a motivated self-starter who can take direction and execute without constant monitoring. • Experience with Databricks, PySpark, SQL, model engineering / ML Ops, and associated documentation/formatting • Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications. • Able to travel, as needed, to meet with government customers and stakeholders • Preferred: Master’s degree in STEM field, ideally Data Science • Preferred: Advanced understanding of AI/ML applications in predictive maintenance/logistics • Preferred: Experience with sensor-based failure predictions and modeling • Preferred: Experience with Monte-Carlo simulation and calculation of confidence levels