Sr Principal Data Scientist - R10216856

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RELOCATION ASSISTANCE:
No relocation assistance available

CLEARANCE TYPE:
Secret

TRAVEL:
Yes, 10% 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.

The Mission Systems (MS) Sector Manufacturing Operations Advanced Strategic Operations Analytics and Insight organization is seeking a Sr. Principal Data Scientist to lead the implementation of strategic program execution initiatives. In support of MS multiple divisions, the individual will be responsible for developing new technical principles and leading technical aspects of strategic initiatives, ensuring cost, schedule and quality objectives are met using advanced analytics, multi-disciplined leadership, and continuous improvement techniques.

This individual will develop and apply advanced technical principles, theories, and concepts across the MS Sector Divisions and Operations to support strategic planning, execute strategic projects, develop operational business opportunities, and drive schedule and cost reductions while maintaining absolute quality. The individual will interact and consult regularly with MS Executive Leadership Team (ELT), Program Leadership, and support both Functional Leadership and Divisional Leadership.

Key Responsibilities

• Participate in the planning, design, development and implementation of solutions to address ongoing business performance opportunities and performance improvement.

• Work in a fast-paced, Agile/Scrum based environment.

• Implement process changes to improve business outcomes.

• Develop impactful predictive modelling, Monte Carlo simulations and advanced analytics.

• Support cross-team development efforts for multiple projects, including data cleanup, ingestion, and linkage with other data sets.

• Develop data architectures and data management solutions.

• Document design, deployment and operating procedures for each work product.

• Present data in a meaningful way to executive management.

• Other duties as assigned.

Basic Qualifications

• Bachelor’s degree plus 8 years in engineering, business, or related field or a master’s degree with 6 years’ experience

• Ability to communicate effectively to all levels of an organization with the ability to translate concepts into practical application

• Demonstrated experience working with systems to ingest, process, store, analyze and visualize data

• Demonstrated proficiency with SQL and Python or R

• Active Secret clearance

Preferred Qualifications

• All Basic Qualifications and

• Master’s degree in information technology, data science, industrial engineering, or related field

• Demonstrated knowledge of SQL database management

• Demonstrated knowledge and application of:
Lean, Six Sigma, ToC, and Scaled Agile

• Understanding of advanced descriptive, diagnostic, predictive, and prescriptive analysis techniques and methodology

• Familiarity with SAP

• Familiarity with AWS Cloud Computing

• Familiarity with an Oracle based data warehouse

• Familiarity with Tableau

Primary Level Salary Range: $ - $

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…