Data Scientist - Finance AI & Analytics

Northrop Grumman•Falls Church, VA

3d•$113,900 - $213,200•Remote

About The Position

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.

Requirements

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 (for Level 3)
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 (for Level 4)
Deep foundational knowledge of statistical modeling and machine learning concepts
Expertise with Python (at least 4 years)
Proficiency with data transformation using SQL or similar data querying language
Experience using version software control (e.g. git) with a team of collaborators
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 collaborating on projects with multiple teams, managing relationships, and communicating findings to audiences
U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Nice To Haves

Degree in a quantitative field (engineering, mathematics, statistics, computer science, etc.) is preferred
Experience with Monte Carlo simulation, time series modeling, or probabilistic modeling
Proven experience putting models into production
Experience interfacing and presenting to executive audiences
Experience with finance- or business management-related data

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