Senior Data Scientist at Redhorse – Remote

About the Role

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