Data Scientist

Summary

Join Redhorse Corporation as a Data Scientist to support Condition-Based Maintenance Plus (CBM+) initiatives. You will leverage AI/ML to enhance aircraft sustainment and optimize maintenance efficiency, developing predictive maintenance and logistics forecasting models. This role involves working in an Agile environment with multi-functional teams, contributing to program-wide initiatives for USAF RSO stakeholders. The position requires a strong background in data science, including experience with various statistical distributions and data modeling techniques. You will be responsible for data collection, processing, and analysis, as well as developing and deploying ML models. Strong communication and collaboration skills are essential for this role.

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
• Ability to work in a fast-paced, evolving environment while managing multiple projects
• 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

Responsibilities

• 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

Preferred Qualifications

• 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