Sentinel Principal Data Scientist
| Company | Northrop Grumman |
|---|---|
| Location | Hill AFB, UT, USA |
| Salary | $104800 – $157200 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- Bachelor’s Degree with 5 years of relevant experience; Master’s Degree with 3 years’ experience; PhD with 1 year experience or 4 additional years of relevant experience in lieu of degree.
- Must be a US Citizen with an active U.S. Government DoD Secret security clearance at time of application with an investigation completed within the last 6 years.
- Must have the 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.
- Proficiency in writing, optimizing, and troubleshooting complex SQL queries.
- Experience managing and maintaining SQL databases.
- Experience in defining and tracking key performance indicators (KPIs) and metrics related to business and engineering analytics.
- Expertise in developing and managing ETL processes.
- Advanced proficiency in Python programming for data analysis, manipulation, and automation.
- Proficient in using version control systems such as Git for collaborative development.
- Familiarity with Agile/Scrum methodologies for project management.
- Strong communication skills to present findings and insights to both technical and non-technical stakeholders effectively.
Responsibilities
- Work with a team of talented professionals passionate about the work they do.
- Engage with teams across the entire program to understand their analytics and data modeling requirements.
- Help architect and build data pipelines connected to multiple program ASoTs.
- Apply data engineering processes and procedures to manage infrastructure, storage, and transformation of data to enable scalable and performant analytics.
- Develop and publish Tableau server dashboards and visualizations used to inform individuals and leaders across the program.
- Apply state of the art data science approaches to develop analytical solutions providing program insights.
- Work within an agile framework focused on stakeholder outcomes.
- Recommend process changes to business leaders to improve efficiency.
Preferred Qualifications
- Strong experience in publishing, maintaining, and managing Tableau reports on Tableau Server.
- Capability to bridge the gap between business requirements and technical specifications.
- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
- Familiarity with DevOps practices and tools for data science deployment.
- Proficiency in applying advanced statistical methods and machine learning techniques.
- Experience in performing predictive and prescriptive analytics.