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.
Key Responsibilities
- 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.
Required Qualifications
- 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 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
Top Skills
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