RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE REQUIRED FOR START: Yes
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the Time
DescriptionNorthrop Grumman Aeronautics Systems sector is seeking an
Associate Data Scientist or a
Data Scientist to join our team of qualified, diverse individuals. This position will be located in
Palmdale, CA where technology and teamwork come together. The qualified applicant will become part of Northrop Grumman's Tooling organization working in a collaborative environment while promoting a positive and proactive teamwork environment.
Essential Job Functions: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.
Basic Qualifications for Associate Data Scientist (Level 1):- 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
Basic Qualifications for Data Scientist (Level 2):- 1 year of experience with Bachelors in Science; 0 Years with Masters
- 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
- 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 Qualifications- 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
Knowledge, Skills and Ability:- Use and/or application of technical principles, theories, and concepts
- Demonstrates the skill and ability to perform professional tasks
- Software: VS Code, Apache Airflow, , Tableau, Confluence, Jira
Problem SolvingDevelops recommended solutions to technical problems as assigned.
Discretion/LatitudeWork is reviewed for soundness of technical judgment, overall adequacy and accuracy. Works under general supervision.
ImpactContributes to the completion of assigned technical tasks. Failure to achieve results should be detected in supervisory oversight.
LiaisonContacts are primarily with immediate supervisor, project leaders, and other professionals in the section or group
Primary Level Salary Range: $83,800.00 - $125,800.00
Secondary Level Salary Range: $101,000.00 - $151,400.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
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. In addition, 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.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
