RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the Time
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's Defense Sector is seeking a Data Scientist 4 for our Advanced Weapons division who will make significant and ongoing contributions to the maturation of our data driven processes. You will be responsible for collecting, processing and presenting information, including actionable insights, from multiple disparate data sets. The ideal candidate will have both the analytical aptitude and problem-solving skillset necessary for extracting value from a collection of novel data sets. In addition to being a highly proficient data scientist, this candidate is expected to foster a data pipeline by engineering analytics that lend themselves to automation and scale. As a function of engaging with stakeholders and taking ownership of outcomes, the candidate can comprehend the general problem space and is confident in socializing, demonstrating, and presenting insights generated from the data. This position requires work on site located at Woodland Hills, CA and there is no remote work .
Responsibilities:
Analyze multiple data sources from cross-disciplinary teams to identify trends and patterns using engineering fundamentals.
Interpret data, analyze results using statistical techniques and provide ongoing report to stakeholders of varying scientific fields.
Summarize and socialize data, make conclusions and provide direction on problems identified.
Effectively generate ideas and support building tools in order to automate analysis processes.
Strong communication & visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.
What you need to be successful in the role:
Comfort with requirements-analysis and stake-holder engagement.
Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.
Solid communication skills (written, verbal, and visual)
Ability to communicate data and engineering analysis regarding conclusions that were reached.
Ability to create and present data reports to support investigations.
Excellent attention to detail.
Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.
Prioritization skills to manage workload and make sound decisions for assigned team's data analysis activities.
Basic Qualifications for a Data Scientist 4:
Bachelor's degree in a technical area with 8 years of relevant experience (6 years with technical MS; 4 years with a PhD in a related field)
Data Visualization: Experience with tools like Tableau, Power BI, or matplotlib for creating insightful visualizations.
Knowledge of data gathering, cleansing and transformation techniques
Experience with common data science toolkits such as Python and Tableau
Experience using Python packages: pandas, numpy, matplotlib
Experience developing and presenting data visualizations for scientific analysis
Able to obtain and maintain a Secret clearance per business requirements
Preferred Qualifications for a Data Scientist 4:
Product Lifecycle experience
Proficient using query languages such as SQL
Experience mentoring and leading peers in data science projects
Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
JMP proficiency (SAS statistical tool) and experience scripting in JSL
MATLAB experience
LI-MA1
Primary Level Salary Range: $151,100.00 - $226,700.00
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.
Depending on the position, employees may be eligible for overtime, shift differential, and 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 an Equal Opportunity 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 and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
