Principal Data Scientist
$125,300–$187,900 year
On-sitePalmdale, California, United States
Job Summary
Manage, maintain, and secure SQL databases while writing and optimizing complex queries to ensure high performance. Design, develop, and manage automated ETL processes to ingest and transform engineering and business datasets. Define, track, and build interactive dashboards in Tableau and PowerBI to communicate technical metrics to stakeholders. Write and deploy advanced Python scripts using Airflow for data manipulation, analysis, and process automation. Utilize Gitlab for version control and collaborative development within an agile/scrum framework. Creates data mining architectures, statistical reporting, and analysis methodologies to identify trends in large datasets. This individual contributor role supports project status reviews, budget analysis, resource planning, and administrative functions within the Program Management Office. Requires a Secret clearance and SAP approval.
Required Qualifications
- 5 Years experience with bachelor's degree in science; or 3 years with masters; 1 years with a PhD
- Experience in writing, optimizing, and troubleshooting complex SQL queries
- Experience managing and maintaining SQL databases
- Experience to define, track, and visualize business and engineering metrics using advanced BI tools like Tableau and PowerBI
- Expertise in developing and managing ETL processes
- Experience in Python programming for data analysis, manipulation, and automation
- Experience using version control systems such as Gitlab for collaborative development
- Experience with Agile/Scrum methodologies for project management
- Active U.S. Government DoD Secret security clearance at time of application, current and within scope, with an ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business need
- U.S. Citizenship
Desired Qualifications
- 5 years of relevant experience with a bachelor's degree, 3 years relevant experience with a master's degree, or a PHD in either Data Science, Mathematics, Computer Science, or Engineering
- Expertise in developing and orchestrating robust ETL processes using Apache Airflow
- Strong experience in publishing, maintaining, and managing Tableau reports on Tableau Server
- Capability to bridge the gap between business requirements and technical specifications
- Proficiency in applying advanced statistical methods and machine learning techniques
- Experience in performing predictive and prescriptive analytics
- Strong communication skills to present findings and insights to both technical and non-technical stakeholders effectively
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