Sr. Data Scientist/Reliability Engineer

About the Organization Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as a Senior Data Scientist/Reliability Engineer for the Conditions Based Maintenance (CBM+) Program. The Senior Data Scientist/Reliability Engineer will serve as a key advisor to the program and will be responsible for engagement with stakeholders.  This individual will serve as the principal internal reliability consultant to the delivery teams, advising on matters related to part reliability and forecasting, including understanding failure modes, selecting distribution forms and parameters, and optimizing distributions. This individual will also be responsible for designing and developing AI/ML models that provide results to meet the customers needs. The role is a trusted advisor to leadership and will provide mentorship and guidance to Data Analysts and Data Scientist I positions. 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:

• Serve as a key contributor to the development and maintenance of the CBM+ Program via the PANDA Platform
• Collaborate with and mentor delivery team data scientists and analysts to ensure Reliability Engineering best practices are adopted across the Redhorse team, and consistently result in the best possible Remaining Useful Life predictions.
• Calculate effects of Predictive Maintenance recommendations on platform availability and number of mission failures or aborts
• Use potential impacts on platform availability and number of mission failures or aborts to inform prioritization of Work Unit Codes for which to develop Remaining Useful Life models
• Support the Predictive Maintenance Alert Loop (PMAL) process
• Coordinate with stakeholders to support discussions or activities driven by forecast thresholds or alerts
• Continually seek and receive feedback from the USAF aviation maintenance community to improve AI/ML algorithms or make corrections to reported maintenance actions
• Support the maintenance community during these steps should questions arise as to the maintenance alerts or forecasts and seek feedback from the community during the process as described above
• Lead data science projects from inception to deployment, working closely with business stakeholders.
• Work with internal and external stakeholders to translate business concepts into data deliverables.
• Develop predictive models, recommendation systems, and other advanced data-driven solutions.
• Stay abreast of industry trends, recommending and implementing emerging data science technologies to address business needs.
• Propose and test AI/ML capabilities to solve use cases prioritized by stakeholders.
• Communicate results to both technical and non-technical stakeholders frequently, regular engagement directly with the customer.
• Develop and take lead on use cases.
• Transform business issues into clearly defined analytics problems through questions, research and requirements analysis.
• Mentor both Data Analyst and Data Scientist I on technical projects and ensure quality production of labeled and modeled data for specific platforms. 

Minimum Basic Requirements for Skills, Experience, Education and Credentials include:

• Graduate degree in a quantitative field (Aerospace, Mechanical, Systems Engineering, Computer Science, Mathematics, Applied Science, etc.) with a minimum of 7 years of relevant experience, or equivalent combination of education and experience
• Proven experience working on DoD aircraft platforms as a reliability engineer
• Understanding of DoD supply chain and logistics processes
• Understanding of Failure mode effects and criticality analysis
• 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 s