Data Scientist
About the Organization
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.
Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as a Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government-provided PANDA platform. The Senior Analyst will mentor junior analysts in the areas of NLP related to automated or semi-automated data extraction and other elements of model development and will be the first line quality control check for data cleaning, WUC analyses, NLP models and resulting forecasts. This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.
Essential Functions:
- Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
- Sustain existing WUC predictive failure models
- Support selection and analysis of new WUC predictive failure models
- Field newly approved WUC predictive failure models
- Generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
- Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
- Participate in user and stakeholder engagements and technical discussions
- Gather and provide feedback on best practices and recommended enhancements to the platform
- Document work performed in technical reports
- Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
- Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics.
- Understanding of Weibull distribution and use for modeling part failures
- Proven ability to drive key client communication and expectations
- Experience engaging clients and developing relationships at the highest levels of the Federal Government
- Strong communication skills and ability to understand business functionality
- Ability to foster positive business relationships
- Proven leadership abilities
- Excellent communication and interpersonal skills
- 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
- Advanced degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
- Active Secret Clearance
- Experience with Predictive Maintenance / Logistics
- Experience with sensor-based failure predictions and modeling
- Experience with Monte-Carlo simulation and calculation of confidence levels