Data Scientist - Finance AI & Analytics

About the role

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

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

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

Required qualifications

• 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

Preferred Qualifications

• 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

Pay

Level 3 Salary Range: $113,900.00 - $170,900.00

Level 4 Salary Range: $142,200.00 - $213,200.00

Benefits

• Health insurance coverage
• Life and disability insurance
• Savings plan
• Company paid holidays
• Paid time off (PTO) for vacation and/or personal business
• Eligibility for overtime, shift differential, and discretionary bonus in addition to base pay (depending on position)
• Annual bonuses designed to reward individual contributions and allow employees to share in company results
• Long Term Incentives for employees in Vice President or Director positions