Redhorse

Redhorse

Redhorse Corporation specializes in transforming government interactions with data and technology, offering impactful solutions through trusted partnerships and expertise in National Security and Technology.

Aerospace & Defense
251-1K
Founded 2008

Description

  • Support program initiatives from inception to deployment in alignment with CBM+ business and mission objectives.
  • Lead the development and deployment of machine learning models, statistical analyses, and data experiments.
  • Own the analytical framework to ensure robustness, reproducibility, and scalability.
  • Partner with domain experts to translate business questions into data-driven insights and products.
  • Promote and refine standards for experimental design and analysis.
  • Oversee data collection and processing, including ETL pipeline implementation and maintenance.
  • Clean and preprocess datasets for analytical and modeling use.
  • Perform exploratory data analysis, statistical analysis, and visualization to identify patterns, trends, correlations, and insights.
  • Develop and optimize machine learning models using regression, classification, clustering, and deep learning methods.
  • Collaborate with multi-functional teams to integrate models into applications or APIs.
  • Monitor deployed models for performance drift and degradation.

Requirements

  • US citizen with an active Secret U.S. government clearance; non-citizens and applicants without an active Secret clearance will not be considered.
  • 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 of statistical distributions and their use in data modeling.
  • Ability to build and maintain positive business relationships.
  • Strong communication skills with the ability to present technical findings to diverse audiences.
  • Motivated self-starter who can take direction and execute without constant monitoring.
  • Experience with Databricks, PySpark, SQL, model engineering / MLOps, and related documentation/formatting.
  • Experience with Microsoft Office suite and file sharing applications.
  • Ability to travel as needed to meet with government customers and stakeholders.
  • Master’s degree in a STEM field, ideally Data Science.
  • Advanced understanding of AI/ML applications in predictive maintenance and logistics.
  • Experience with sensor-based failure prediction and modeling.
  • Experience with Monte Carlo simulation and calculating confidence levels.

Interested in this position?

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