The position may be filled at either the Data Scientist (level 2) or Principal Data Scientist (level 3)
Northrop Grumman Aeronautics Systems is seeking a Data Scientist Level 2 or 3 to join our San Diego-based team of data and analytics experts who support the Air Vehicle Engineering Integrated Product Team (AV IPT). The AV IPT is responsible for the design, development, manufacturing, testing, and maintenance of the unmanned high altitude air vehicle commonly known as the Global Hawk. This platform is highly sought after and currently has contract awards with the US Navy, US Air Force, NASA, NATO, Republic of Korea, Japan, and Australia with expectations of bringing on more international interests. The position will be located in San Diego, CA.
This individual will serve as a critical supporting member of the AV IPT leadership team by taking on the detailed tasks of investigating, compiling, analyzing, forecasting, and reporting cost, schedule, and technical performance of the AV team.
This role requires skills in relating and reporting data from various sources such as MES, SAP, Teamcenter, eQube, SQL Server, or other large databases. The position requires direct interfacing with IPT leads, Program Managers, various engineering disciplines, technical and business team members as well as customers across various programs.
This role requires high attention to detail and the ability to deliver on time. Due to the dynamic nature of the IPT statement of work, this individual should be able to work well in an environment with fast-paced deadlines and manage multiple priorities. This role offers growth opportunity for those interested in pursuing either technical career paths in data science and analytics, engineering, or managerial paths for project/program management.
This is an individual contributor, non-manager, role with no direct reports. However, this position may be a lead role with certain assigned projects.
Essential Functions (but are not limited to):
- Compile, analyze, forecast, manage, and report project performance to IPT and/or Program leadership.
- Compile and develop labor cost estimates with accompanying task descriptions for various disciplines under the AV IPT and provide to IPT, Functional Homeroom and Program leadership.
- Compile, analyze, forecast labor requirements by discipline and report to the IPT, Functional Homeroom and/or Program leadership for staffing purposes.
- Assess project issues and develop resolutions to meet productivity, quality, and objectives.
- Manage and track risks, issues, and opportunities.
- Manage and track proposed and approved engineering changes for the technical team.
- Prepare metrics and reports that add value to the engineering processes.
- Manage various data files in applicable formats and condition the data for repeatable data analytics and reporting.
- Facilitate various internal and external cost, schedule, and technical performance reviews and/or problem resolution discussions.
- Map out processes and create knowledge management repositories for sharing, coordinating, and facilitating closure of actions.
- Create data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization.
Basic Qualifications:
- For Data Scientist (level 2): Bachelor’s degree in a STEM discipline and at least 2+ years of relevant technical experience OR Master’s degree in a STEM discipline from an accredited university.
- For Principal Data Scientist (level 3): Bachelor’s degree in a STEM discipline with at least 5 years of relevant technical experience OR Master’s degree in a STEM discipline 3 years of relevant technical experience.
- Strong statistical and data visualization skills.
- Ability to obtain a DoD Secret security clearance.
- Must have the ability to obtain and maintain Program Access (PAR) within a reasonable period of time as determined by the company to meet its business needs.
Preferred Qualifications:
- Active DoD Secret clearance
- Prior experience reporting data from various sources such as MES, SAP, Teamcenter, eQube, SQL Server, or other large databases.
