Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world’s biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today.
Northrop Grumman Defense Systems is seeking a Data Scientist - 14495. This position will be located in Roy, Utah and will support the Sentinel program.
- 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
Basic Qualifications:
- Bachelor’s Degree with 2 years of relevant experience; Master’s Degree with 0 years’ 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.
Preferred Qualifications:
- 2 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.
- 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.