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 member of the People Analytics team supporting the Mission Systems Sector, you will be responsible for guiding the organization with strategic analysis and providing meaning behind data.
As a data scientist, you will be curious, detail-oriented, and ethically conscious. You seek to ask questions about people, the business, and how we can use data to find solutions. You are a creative problem-solver who can determine appropriate methodologies to apply to unique data applications. You are a strategic thinker that can translate data to create well-informed people decisions to enable better business outcomes. You will develop models to help us approximate our complex business and play out potential future scenarios - ultimately seeking to answer "what if...?" questions. You want to drive positive change for our people, are candid and collaborative in taking on our most difficult analytics projects as well as the process and culture changes that accompanies them. You will collaborate across the sector and business to uncover data-driven insights to solve business challenges across the talent life-cycle and enable transformational change.
Key Responsibilities Include:

Create strategic analysis by forming a structured hypothesis, identifying patterns in data using quantitative methods, and deriving insights that drive decision making.
* Synthesize and communicate results for executive audiences by capturing meaningful insights and takeaways from data.
* Work directly with a wide range of stakeholders, including executive leaders and HR partners, to understand organizational needs and business questions.
* Partner with analytics organizations to drive digital transformation strategy throughout sector functions and objectives.
* Create data visualizations using common tools (Python or R libraries, Tableau, etc.) and building compelling data stories.
* Design, develop and maintain scalable Extract, Transform, and Load (ETL) pipelines utilizing python and SQL.
* Data preparation/cleaning, integration, and automation from heterogeneous sources.
* Translate business questions and identify and implement appropriate modeling or analysis techniques.
* Write well-structured and understandable code to enable smooth collaboration across the team and successful model deployment.
* Drive projects from initial concept through deployment, leveraging opportunities for automation.
This requisition may be filled at either a Data Scientist level 2 or a Principal Data Scientist level 3 based on the qualifications listed below.
Basic Qualifications for a Data Scientist (level 2):

Bachelor's degree and 2 years of data analytics experience
* Foundational knowledge of statistical modeling and machine learning concepts
* Experience with Python or R/R Studio
* Experience transforming data using SQL or similar data querying language
* Proficient in data visualization using Tableau or similar visualization tool
* Experience collaborating on projects and communicating findings to audiences
* The ability to obtain and maintain a DoD Secret clearance is required.
* U.S. Citizenship required.
Basic Qualifications for a Principal Data Scientist (level 3):

Bachelor's degree and 5 years of data analytics experience OR a Master's degree and 3 years of data analytics experience
* Foundational knowledge of statistical modeling and machine learning concepts
* Experience with Python and R/R Studio
* Experience transforming data using SQL or similar data querying language
* Proficient in data visualization using Tableau or similar visualization tool
* Experience collaborating on projects and communicating findings to audiences
* The ability to obtain and maintain a DoD Secret clearance is required.
* U.S. Citizenship required.
Preferred Qualifications:

Degree in a quantitative field (engineering, mathematics, statistics, computer science, etc.) is preferred
* Knowledge of techniques like Monte Carlo simulation, time series modeling, or probabilistic modeling
* Experience with lightweight markup languages like Quarto Markdown to craft insights and strategic analysis
* Experience using version software control (e.g. git)
* Experience with people- or talent-related data
* Experience with Workday systems
Salary Range: $87,200 - $130,800
Salary Range 2: *$107,300 - $160,900
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.