Northrop Grumman Corp. (AU)
Associate Data Scientist/Data Scientist (Palmdale CA)
Northrop Grumman Corp. (AU), Palmdale, California, United States, 93552
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.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 Aeronautics Systems (NGAS) has an opening for an
Associate Data Scientist or Data Scientist
to join our team of qualified, diverse individuals. The position requires on-site support located in
Palmdale, CA
where technology and teamwork come together. The selected candidate will become part of Northrop Grumman's Manufacturing Engineering Team working in a collaborative environment while promoting a positive and proactive teamwork environment.Data Scientist job duties involve the following: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.Basic Qualifications (Associate level):Bachelor's Degree with 0 years of experienceBasic understanding of JavaScript, SQL, Python, TableauKnowledge of data gathering, cleansing and transformation techniquesUnderstanding of Agile Software DevelopmentKnowledge of databases (SQL Server, AWS Databases (DynamoDB, RDS, or similar)) and schema.Experience with ETL tools, data analytics platforms, and reporting servicesThis position requires the ability to obtain and maintain a DOD Secret or Top Secret Clearance as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needsAbility to work 1st shift "5:00am-3:30pm" or 2nd shift "4:12pm-2:42am" and any work schedule (times may vary)Ability to work for extended periods of time at a workstation on a computer or similar device for up to 10 hours / duration of shift. Occasional extended periods of standing, bending, kneelingPreferred Qualifications (Associate level):Bachelor's Degree in Mechanical or Aerospace Engineering/Computer Science.Understanding of Mechanical Engineering Concepts/Theory and Production OperationsSecret or Top Secret clearance preferredHands-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 learningExperience with computer vision (CNN, Transformer architectures) and image/video data preparation for machine learningHands-on experience with time series analysis and sequence modelingKnowledge of Cloud environments (Azure, AWS-SageMaker, S3, etc.)Knowledge of dashboarding frameworks (Plotly Dash, Panel, Streamlit, Tableau, etc.)Agile development understandingBasic Qualifications (level 2):2 years' experience with Bachelors in Science; 0 Years with MastersStrong understanding of JavaScript, SQL, Python, TableauExperience in data gathering, cleansing and transformation techniquesStrong understanding of Agile Software DevelopmentUnderstanding of Mechanical Engineering Concepts/Theory and Production OperationsWorking knowledge of databases (SQL Server, AWS Databases (DynamoDB, RDS, or similar)) and schemaExperience with dashboarding frameworks (Plotly Dash, Panel, Streamlit, Tableau, etc.)Experience with modeling and normalizing complex dataThis position requires the ability to obtain and maintain a DOD Secret or Top Secret Clearance as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needsAbility to work 1st shift "5:00am-3:30pm" or 2nd shift "4:12pm-2:42am" and any work schedule (times may vary)Ability to work for extended periods of time at a workstation on a computer or similar device for up to 10 hours / duration of shift. Occasional extended periods of standing, bending, kneelingPreferred Qualifications (level 2):Bachelor's Degree in Mechanical or Aerospace Engineering/Computer ScienceSecret or Top Secret clearance preferredHands-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 learningExperience with computer vision (CNN, Transformer architectures) and image/video data preparation for machine learningHands-on experience with time series analysis and sequence modelingExperience with Cloud environments (Azure, AWS-SageMaker, S3, etc.)Agile development experienceExperience developing tools to improve efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.Salary Range:
$79,300 - $118,900Salary Range 2:
$95,900 - $143,900The 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.Employees may be eligible for 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.Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit
http://www.northropgrumman.com/EEO . U.S. Citizenship is required for most positions.
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Associate Data Scientist or Data Scientist
to join our team of qualified, diverse individuals. The position requires on-site support located in
Palmdale, CA
where technology and teamwork come together. The selected candidate will become part of Northrop Grumman's Manufacturing Engineering Team working in a collaborative environment while promoting a positive and proactive teamwork environment.Data Scientist job duties involve the following: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.Basic Qualifications (Associate level):Bachelor's Degree with 0 years of experienceBasic understanding of JavaScript, SQL, Python, TableauKnowledge of data gathering, cleansing and transformation techniquesUnderstanding of Agile Software DevelopmentKnowledge of databases (SQL Server, AWS Databases (DynamoDB, RDS, or similar)) and schema.Experience with ETL tools, data analytics platforms, and reporting servicesThis position requires the ability to obtain and maintain a DOD Secret or Top Secret Clearance as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needsAbility to work 1st shift "5:00am-3:30pm" or 2nd shift "4:12pm-2:42am" and any work schedule (times may vary)Ability to work for extended periods of time at a workstation on a computer or similar device for up to 10 hours / duration of shift. Occasional extended periods of standing, bending, kneelingPreferred Qualifications (Associate level):Bachelor's Degree in Mechanical or Aerospace Engineering/Computer Science.Understanding of Mechanical Engineering Concepts/Theory and Production OperationsSecret or Top Secret clearance preferredHands-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 learningExperience with computer vision (CNN, Transformer architectures) and image/video data preparation for machine learningHands-on experience with time series analysis and sequence modelingKnowledge of Cloud environments (Azure, AWS-SageMaker, S3, etc.)Knowledge of dashboarding frameworks (Plotly Dash, Panel, Streamlit, Tableau, etc.)Agile development understandingBasic Qualifications (level 2):2 years' experience with Bachelors in Science; 0 Years with MastersStrong understanding of JavaScript, SQL, Python, TableauExperience in data gathering, cleansing and transformation techniquesStrong understanding of Agile Software DevelopmentUnderstanding of Mechanical Engineering Concepts/Theory and Production OperationsWorking knowledge of databases (SQL Server, AWS Databases (DynamoDB, RDS, or similar)) and schemaExperience with dashboarding frameworks (Plotly Dash, Panel, Streamlit, Tableau, etc.)Experience with modeling and normalizing complex dataThis position requires the ability to obtain and maintain a DOD Secret or Top Secret Clearance as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needsAbility to work 1st shift "5:00am-3:30pm" or 2nd shift "4:12pm-2:42am" and any work schedule (times may vary)Ability to work for extended periods of time at a workstation on a computer or similar device for up to 10 hours / duration of shift. Occasional extended periods of standing, bending, kneelingPreferred Qualifications (level 2):Bachelor's Degree in Mechanical or Aerospace Engineering/Computer ScienceSecret or Top Secret clearance preferredHands-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 learningExperience with computer vision (CNN, Transformer architectures) and image/video data preparation for machine learningHands-on experience with time series analysis and sequence modelingExperience with Cloud environments (Azure, AWS-SageMaker, S3, etc.)Agile development experienceExperience developing tools to improve efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.Salary Range:
$79,300 - $118,900Salary Range 2:
$95,900 - $143,900The 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.Employees may be eligible for 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.Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit
http://www.northropgrumman.com/EEO . U.S. Citizenship is required for most positions.
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