Requisition ID: R10177808
• Category: Research and Sciences
• Location: Falls Church, Virginia, United States of America | Unknown City, Virginia, United States of America
• Clearance Type: None
• Telecommute: Yes- May Consider Full Time Teleworking for this position
• Shift: 1st Shift (United States of America)
• Travel Required: Yes, 10% of the Time
• Relocation Assistance: Relocation assistance may be available
• Positions Available: 1
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's Enterprise Insights & Analytics (EI&A) organization is seeking an experienced data scientist to our People Analytics organization. This position will report to the Manager, Advanced Analytics & Products, People Analytics.  
This role will sit in our Falls Church, VA location but we may also consider a hybrid or teleworker arrangement for this position. 
At Northrop Grumman, People Analytics is a core domain within our Enterprise Insights & Analytics (EI&A) organization.  EI&A is a team of strategic analysts, scientists, engineers, and technologists who use science, research and data to identify strategic insights and create innovative analytic solutions for our business.
As a data scientist, you will be responsible for developing and scaling models to approximate our complex workforce and ultimately help answer "what if...?" questions.  Through these efforts, you will enable HR leaders and business partners to make informed decisions across multiple areas of human capital including, but not limited to talent acquisition, culture, talent management, compensation and retention.
Responsibilities will include, but are not limited to:

• 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:

• Bachelor's degree with 8+ years of related professional experience - OR - a Master's degree with 6+ years of related professional experience - OR - a PhD with 4+ years of relevant experience.

• Understanding of (or interest in) HR domain areas and metrics (such as talent acquisition, compensation, performance, learning and development, and HR metrics).

• Deep foundational knowledge of statistical modeling and machine learning concepts

• Expertise with Python (at least 5 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

• Must have the ability to obtain and maintain a security clearance.  US Citizenship is a prerequisite.

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 communicating insights through data-journalism

Salary Range: $137,400 - $206,000
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.
Employees may be eligible for 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 committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action 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/AA and Pay Transparency statement, please visit. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.PDN-9d8df3de-b132-44a0-bcc9-6ec23d654cc5