Principal Data Scientist

CAPA401, United States

Northrop Grumman

Northrop Grumman solves the toughest problems in space, aeronautics, defense and cyberspace to meet the ever evolving needs of our customers worldwide. Our 95,000 employees define possible every day using science, technology and engineering to...

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RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE TYPE: Secret

TRAVEL: Yes, 25% of the Time

Description

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.

Northrop Grumman Aeronautics Systems (NGAS) has an opening for a Principal 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. This position has the opportunity to accommodate a hybrid schedule but will require in office days.

Data Scientist job duties involve the following:

  • Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to diagnose product lifecycle applications and associated tool suites

  •  Create test data in multiple product lifecycle applications and associated tool suites to test and validate system behavior

  •  Analyze multiple data sources in detail to identify trends and patterns using engineering fundamentals

  •  Administer databases utilizing strong skills at sourcing data from a wide variety of formats

  •  Analyze database configurations to optimize the performance of end user models and dashboards

  • Develop resilient and scalable pipelines capable of moving large volumes of data

  • Assess the effectiveness and accuracy of data sources and data gathering techniques

  • Coordinate with different functional teams to implement solutions and monitor outcomes

What you need to be successful in the role:

  •  Comfort with requirements-analysis and stake-holder engagement

  •  Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable

  •  Strong communication skills (written, verbal, and visual)

  •  Ability to communicate data and engineering analysis regarding conclusions that were reached

  •  Excellent attention to detail

  •  Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques

  •  Prioritization skills to manage workload and make sound decisions for assigned team's data analysis activities

  • Ability to create and present data reports to support investigations

  • Ability to accurately document issues through ticketing or other tracking systems

Basic Qualifications:

  • Bachelor's degree with 4 years of technical and/or engineering experience, Master's degree with 3 years or technical and/or engineering experience or PhD with 0 years of experience

  • Strong understanding of JavaScript, SQL, Python, Tableau

  • Understanding of PLM (product lifecycle management) software

  • Experience with working through a ticketing or equivalent issue/task tracking system

  • Experience in data gathering, cleansing and transformation techniques

  • Understanding of Agile Software Development

  • Understanding of Mechanical Engineering Concepts/Theory and Production Operations

  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from multiple sources / systems of record

  • Experience mentoring and leading peers in data engineering projects

  • Experience with ETL tools, data analytics platforms, and reporting services

  • Excellent communication skills and customer facing experience

  • Proven ability to learn and master new technologies and techniques

  • This 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 needs

  • Ability to work 1st shift and any work schedule (times may vary)

  • Ability to travel at least 25%

Physical Demands: The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to:

  • 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, kneeling

Preferred Qualifications:

  • STEM Degree in Mechanical or Aerospace Engineering/Computer Science

  • Current and active DoD Secret or Top Secret clearance

  • 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

  • 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 with Cloud environments (Azure, AWS-SageMaker, S3, etc.)

  • Agile development

  • Experience developing tools to improve efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.

Salary Range: $121,400.00 - $182,000.00

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.

Northrop Grumman is an Equal Opportunity 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 and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
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Category: Data Science Jobs

Tags: Agile Architecture AWS Azure Computer Science Computer Vision Data analysis Data Analytics Data Mining Deep Learning Engineering ETL JavaScript Machine Learning Matplotlib NumPy Pandas PhD Pipelines Python PyTorch SageMaker Scikit-learn SQL Statistics STEM Tableau TensorFlow Travel

Perks/benefits: Career development Health care Insurance Salary bonus

Region: North America
Country: United States

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