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Northrop Grumman
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July 9, 2026
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Associate Data Scientist/Data Scientist

Palmdale, CA
Full-time
Onsite
$84K/yr - $126K/yr
Entry Level
Northrop Grumman is a leading aerospace and defense technology company, seeking an Associate Data Scientist or a Data Scientist to join their Data Science team in Palmdale, CA. The role involves creating data mining architectures and methodologies to analyze large data sets, driving efficiency through data analytics, and managing projects to meet budget and quality requirements.
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Responsibilities

  • Creates 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
  • Requires strong statistical and data visualization skills
  • Experience with data analytics to create and implement data-driven infrastructure to drive efficiency in our organization
  • Strong project management skills to drive tasks/projects to completion ensuring budget, schedule, and quality requirements are met
  • Ability to utilize schedule, cost, and performance data to create user-friendly graphics or data visualization (charts, plots, infographics, animations)
  • Ability to create data handling site on SharePoint for the Tooling Sector and support troubleshooting and edits as required
  • Assist cost account manager in establishing baselines for cost, schedule, and scope, and track actual performance against those measures
  • Analyze trends and variances to identify potential risks and issues and recommend corrective actions as needed
  • Develop, analyze, and maintain estimates to completion and perform monthly budget, EAC, actuals, and Variance Analysis for Leadership briefings
  • Tracking of weekly actuals against monthly/yearly targets and monthly maintenance of cost analysis reports

Qualification

Required

  • 0 Years experience with Bachelors in Science
  • Ability to obtain and maintain a U.S. Government Secret clearance and Special Program Access within a reasonable period of time, as determined by the company to meet its business need
  • Knowledge of data gathering, cleansing, and transformation techniques
  • Capable of gathering large amounts of data, evaluating and identifying trends
  • Capable of presenting data via MS PPT, excel, and other Office tools
  • Familiarity with data evaluation tools such as MS Excel, VBA
  • Ability to collaborate between self-organizing and cross-functioning teams
  • Proficient in Microsoft Suite
  • Intermediate to advanced Excel (Formula, Gantt charts, pivot tables, Slicer)
  • Strong Communication Skills
  • Self driven learner
  • 1 year of experience with Bachelors in Science; 0 Years with Masters
  • Experience with data evaluation tools such as MS Excel, VBA
  • Strong Communication Skills
  • Advanced Excel (Formula, Gantt charts, pivot tables, Slicer)
  • Capable of using Tableau to evaluate data and present
  • Proficient in Microsoft Suite
  • Self driven learner

Preferred

  • Active U.S. Government Secret clearance
  • Experience with cost account management
  • Hands-on experience with core Python data science tools (Numpy, Pandas, Matplotlib, SciKit-Learn, etc.)
  • Hands-on experience with deep learning libraries (TensorFlow, PyTorch, etc.)
  • Experience with anomaly detection and synthetic data strategies for machine learning
  • Knowledge of databases (SQL Server, AWS Databases (DynamoDB, RDS, or similar)) and schema
  • Data engineering skillsets
  • Experience with Generative AI tools and frameworks (Stable Diffusion, GPT, HuggingFace, etc.)
  • Experience with computer vision (CNN, Transformer architectures) and image/video data preparation for machine learning
  • Hands-on experience with time series analysis and sequence modeling
  • Experience configuring and extracting data from mixed-reality platforms (HoloLens 2)
  • Experience with Cloud environments (Azure, AWS-SageMaker, S3, etc.)
  • Hands-on experience with sensor deployments (IoT sensors) and automating data collection and processing in industrial settings
  • Experience with dashboarding frameworks (Plotly Dash, Panel, Streamlit, Tableau, etc.)
  • MLOps knowledge and experience executing the full machine learning lifecycle
  • Experience configuring and extracting data from numerous data sources and bringing them together
  • Experience with SharePoint and creating websites via SharePoint
  • Agile development
  • Experience with the following Techniques:
  • Data pipelines using ETL (Extract, Transform, Load)
  • Data visualization and transformation
  • Version control systems
  • Exploratory Data Analysis (EDA)
  • Statistical Modeling
  • Statistical Inference
  • Predictive Modeling

Benefit

  • Relocation assistance may be available
  • Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
  • Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results.
  • Employees in Vice President or Director positions may be eligible for Long Term Incentives.
  • Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
Northrop Grumman is an aerospace, defense and security company that provides training and satellite ground network communications software.
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Founded in 1994
Falls Church, Virginia, USA
10001+ employees
https://www.northropgrumman.com