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Data Scientist at SMX | Patuxent River, MD

SMXPatuxent River, MD
Hybrid Full-time $87.6K/yr - $146K/yr

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Experience Level

Experience

Qualifications

Essential Duties & ResponsibilitiesImplement advanced analytical models and methodologies to tackle complex scientific and operational challenges. Research, design, and develop interactive reports and dashboards using Tableau, Qlik, or Power BI to provide critical business insights for decision-makers. Exhibit expertise in scientific tools such as QLIK, Tableau, R, Python, and SQL, while analyzing aircraft platforms and developing algorithms to identify system failures and performance issues. Design, build, and manage data architecture and frameworks to ensure efficient data flow across various data science projects.

About the job

Join SMX as a Data Scientist, where you will play a pivotal role in supporting the NAWCAD Readiness & Fleet Analytics (R&FA) Division’s Advanced Analytics and Innovation (AA&I) Branch at Patuxent River Naval Air Station. You will be responsible for migrating code from Cloudera Data Science Workbench (CDSW) to Databricks, utilizing business intelligence tools such as Tableau and Microsoft Power BI to transform data into actionable insights regarding PMA reliability, maintenance, and supply. Collaborate with state-of-the-art data engineering, web development, and data science platforms, including Databricks, GitLab, JIRA, AWS, NUCLEUS, and JAVA, to deliver innovative solutions that make a significant impact.
 
The AA&I Branch is vital in providing support to Program Management Air (PMA) offices, the Air Systems Group, Command, Fleet Readiness Centers, and other Department of Defense (DoD) services. This position allows for remote work, with occasional onsite attendance required at Patuxent River NAS.
 

About SMX

SMX is a leading technology and engineering solutions provider dedicated to delivering innovative support to the Department of Defense and other government entities. Our commitment to excellence drives our focus on advanced analytics and operational effectiveness.

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