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 **Sr. ****Principal Data Scientist Level 4 **to join our team of qualified, diverse individuals. The position requires on-site support located in Clearfield, UT where technology and teamwork come together.

The selected candidate will become part of Northrop Grumman’s Data Science 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.
Summarize and socialize data, make conclusions and provide direction on problems identified.
Strong communication & visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.

What you need to be successful in the role:

Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable
Ability to communicate data and engineering analysis regarding conclusions that were reached.
Ability to create and present data reports to support investigations.
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.

We offer Monday through Thursday 6:00am-4:30pm shifts with every Friday off, flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. We are looking for self-motivated, proactive, and goal-oriented people to help us grow our services and become even better at what we do.

Basic Qualifications

Sr. Principal Data Scientist Level 4:

Bachelor's degree in STEM field with 8 years related experience in engineering OR a Master's degree with 6 years of related engineering experience OR PhD in STEM with 4 years of experience.
Experience in gathering data, analyzing, and reporting to stakeholders.
Ability to obtain and maintain DoD Clearance and Special Program Access (PAR) based on company and business needs.
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
Your ability to obtain and/or maintain the final adjudicated government Secret clearance, and any program access(es) required for the position within a reasonable amount of time, as determined by the company.

Preferred Qualifications:

Able to code with Python without AI assistance
Understanding and ability to work and manage SQL Databases
Knowledge of AI and ML best practices and infrastructure

Primary Level Salary Range: $135,000.00 - $202,600.00

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.

Description

The selected candidate will become part of Northrop Grumman’s Data Science 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.

Summarize and socialize data, make conclusions and provide direction on problems identified.

Strong communication & visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.

What you need to be successful in the role:

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

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

Ability to create and present data reports to support investigations.

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.

Basic Qualifications

Sr. Principal Data Scientist Level 4:

Bachelor's degree in STEM field with 8 years related experience in engineering OR a Master's degree with 6 years of related engineering experience OR PhD in STEM with 4 years of experience.

Experience in gathering data, analyzing, and reporting to stakeholders.

Ability to obtain and maintain DoD Clearance and Special Program Access (PAR) based on company and business needs.

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

Your ability to obtain and/or maintain the final adjudicated government Secret clearance, and any program access(es) required for the position within a reasonable amount of time, as determined by the company.

Preferred Qualifications:

Able to code with Python without AI assistance

Understanding and ability to work and manage SQL Databases

Knowledge of AI and ML best practices and infrastructure

Primary Level Salary Range: $135,000.00 - $202,600.00