Redhorse Corporation is seeking a Senior Data Scientist to support Condition-Based Maintenance Plus (CBM+) initiatives, leveraging AI/ML to enhance aircraft sustainment and optimize maintenance efficiency. The data scientist will help develop predictive maintenance and logistics forecasting models to support the development of decision-making tools for program-wide initiatives for all USAF RSO stakeholders. This role also includes working within mixed and multi-functional teams in an Agile development environment. Most importantly, we are working in a quickly changing environment, so we are hiring creative, motivated, and talented people with a passion for doing what’s right and what’s smart while building a solution that works.
Support program initiatives from inception to deployment, ensuring alignment with CBM+ business and mission objectives.
Lead development and deployment of machine learning models, statistical analyses, and data experiments.
Own the analytical framework, ensuring 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 & 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.
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
Master’s degree in STEM field, ideally Data Science
Advanced understanding of AI/ML applications in predictive maintenance/logistics
Experience with sensor-based failure predictions and modeling
Experience with Monte-Carlo simulation and calculation of confidence levels
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