
Data Scientist
Northrop Grumman · San Diego, CA
- On site
- Full-time
- $151,000 / year
- San Diego, CA
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Subject: Interested in the Data Scientist role at Northrop Grumman
Hi Avery — I came across the Data Scientist opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Northrop Grumman stood out because…
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Job highlights
- Analyze data for sustainment systems engineering.
- Develop and run data analysis tools.
- Process, store, analyze, and visualize data.
- Collaborate with cross-functional teams.
- Utilize Python, SQL, and BI tools.
About the role
Data Scientist
Northrop Grumman Aeronautics Systems has an opening for a Data Scientist to join our team of qualified, diverse individuals within our Systems Engineering organization. This role is located in San Diego, CA. In this role, you will be responsible for supporting a data analysis effort within the Sustainment Systems Engineering team on the Triton Enterprise. You'll be expected to maintain, develop, and routinely run a set of data analysis tools to help make data-driven decision making. You should also be able to assist with network updates and maintenance of the virtual machines that host the database. This role will require strong experience in ingesting, processing, storing, analyzing, and visualizing large data sets. This position will work a 9/80 schedule, with every other Friday off.
Essential Duties
- Data Architecture & Modeling: Design scalable data mining pipelines, establish protocols for data ingestion, cleaning, transformation, and storage. Evolve models to capture long term trends and support real time analytics.
- Statistical Insight: Perform exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify key drivers and associations within heterogeneous data sources.
- Visualization & Reporting: Create interactive dashboards and reports using modern BI and visualization tools (e.g., Tableau, PowerBI, Plotly) to communicate insights to technical and non technical stakeholders.
- Cross Functional Collaboration: Partner with engineering, operations, and business units to define problem statements, translate requirements into analytical solutions, and integrate findings into product roadmaps.
- Innovation & Knowledge Leadership: Stay abreast of cutting edge data science methodologies (e.g., deep learning, reinforcement learning) and evaluate their relevance to defense contexts. Mentor teams and promote a culture of data driven decision making.
- Governance & Quality: Establish data governance standards, data quality metrics, and reproducibility practices across the analytics lifecycle.
Key skills/competency
- Data Science
- Data Analysis
- Statistical Modeling
- Data Visualization
- Python
- SQL
- Tableau
- PowerBI
- Data Mining
- Machine Learning
Skills & topics
- Data Scientist
- Data Analysis
- Statistical Modeling
- Data Visualization
- Python
- SQL
- Tableau
- BI Tools
- Data Mining
- Machine Learning
- Secret Clearance
- STEM
- Northrop Grumman
- San Diego
- Systems Engineering
How to get hired
- Tailor your resume: Highlight experience in data analysis, Python, SQL, and BI tools relevant to Northrop Grumman's needs.
- Emphasize clearance: Clearly state your active Secret clearance and willingness to obtain SAP clearance.
- Showcase technical skills: Detail your experience with data mining, statistical modeling, and visualization tools.
- Demonstrate collaboration: Provide examples of working with diverse teams to drive data-driven decisions.
- Prepare for technical interviews: Brush up on data science concepts, coding challenges, and scenario-based questions.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the required security clearance for the Data Scientist role at Northrop Grumman?
- The Data Scientist position at Northrop Grumman requires an active DoD Secret or higher clearance, with a background investigation completed within the last 6 years or currently enrolled in Continuous Evaluation. Additionally, candidates must be able to obtain and maintain Special Access Program (SAP) clearance.
- What are the key technical skills needed for the Data Scientist job at Northrop Grumman?
- Key technical skills for this Data Scientist role include proficiency in Python, SQL, Tableau, and understanding .DAT file decoding. Experience with data ingestion, processing, storage, analysis, and visualization of large datasets is crucial. Familiarity with BI and visualization tools like PowerBI and Plotly is also beneficial.
- What is the work schedule for the Data Scientist position in San Diego?
- The Data Scientist position in San Diego operates on a 9/80 schedule, which means employees work a standard 80-hour pay period over nine days, resulting in every other Friday off.
- Does Northrop Grumman offer relocation assistance for this Data Scientist role?
- Yes, relocation assistance may be available for the Data Scientist position at Northrop Grumman. The specifics of the assistance would typically be discussed during the hiring process.
- What is the expected experience level for a Data Scientist at Northrop Grumman?
- A Bachelor's degree in a STEM field with at least 2 years of relevant military/professional experience is required, or a Master's degree in a STEM field with some relevant experience. Preferred qualifications include a specific degree in Data Science and demonstrated proficiency in relevant tools and methodologies.
- How does Northrop Grumman approach data governance and quality for Data Scientists?
- Northrop Grumman establishes data governance standards, data quality metrics, and reproducibility practices across the analytics lifecycle to ensure data integrity and reliable insights for Data Scientists.
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