[Remote] Senior Data Scientist
Note: The job is a remote job and is open to candidates in USA. Redhorse Corporation is a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. They are seeking a Senior Data Scientist to support Condition-Based Maintenance Plus (CBM+) initiatives, leveraging AI/ML to enhance aircraft sustainment and optimize maintenance efficiency.
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
Skills
- 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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