Data Scientist - Finance AI & Analytics

RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: SecretTRAVEL: No

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 Insights & Intelligence (i2) is seeking a Data Scientist to join Northrop Grumman’s Finance AI & Analytics organization.  This position will support the Business Management function, and the selected candidate will report to the Manager, Finance AI & Analytics.

The location for this position is Falls Church, VA with the opportunity for a 100% virtual/telework arrangement.  The role can be hired as a Level 3 or Level 4, based on the incumbent’s education and experience.

At Northrop Grumman, Finance AI & Analytics is a core domain within our Insights & Intelligence (i2) organization.  As part of our Chief Information & Digital Office (CIDO), i2 works with all enterprise domains and businesses to drive our data, analytics & AI transformation.

Insights and Intelligence (i2) Solutions is a team of data scientists, behavioral research scientists, insight analysts, data engineers, and technologists who use science to drive insight and data strategy within the business. As a member of Finance AI & Analytics, you will be responsible for guiding the organization with strategic analysis and providing meaning behind data.

As a data scientist, you will be responsible for developing and scaling models to approximate our complex business and potential future scenarios to ultimately help answer “what if…?” questions. You will be curious, detail-oriented, and ethically conscious. You are a creative problem-solver who can determine appropriate methodologies to apply to unique data applications.  You think architecturally about the business management domain to comprehensively solve Enterprise problems at scale. You want to drive positive change and are candid and collaborative in taking on our most difficult analytics projects as well as the process and culture changes that accompanies them.

Responsibilities:

• Develop statistical and machine learning models with a modeling & simulation lens to help quantify and reduce future uncertainty across various scenarios
• Build well-structured and understandable code to enable smooth collaboration across the team and successful model deployment
• Serve as a trusted technical expert who can offer informed guidance on methodology or technology decisions and communicate core requirements to our technology teams
• Mentor junior team members by providing guidance on best practices in data science
• Stay abreast of industry trends and methodologies and contribute innovative ideas to drive business value

Basic Qualifications for Level 3:

• PhD with 1 years of related professional experience OR Master’s degree and 3 years of related professional experience OR bachelor’s degree and 5 years of related professional experience

Basic Qualifications for Level 4:

• PhD with 3 years of related professional experience OR Master’s degree and 6 years of related professional experience OR bachelor’s degree and 8 years of related professional experience

Additional Basic Qualifications for both levels:

• Must have deep foundational knowledge of statistical modeling and machine learning concepts
• Must have expertise with Python (at least 4 years)
• Must have proficiency with data transformation using SQL or similar data querying language
• Must have experience using version software control (e.g. git) with a team of collaborators
• Must have experience using cloud-based data science tools – i.e. AWS, Azure, DataBricks, Spark/PySpark
• Fluency in translating business problems into questions that can be answered via analytic methods
• Experience colla…