Principal/Sr Principal Data Science Engineer
Listed on 2025-11-29
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IT/Tech
Data Analyst, Data Scientist
Relocation Assistance
Relocation assistance may be available. CLEARANCE TYPE: SCI. TRAVEL:
Yes, 10% of the time.
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.
this Position
We are seeking a data scientist 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 possesses 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 analyst, 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 Linthicum, MD and/or Annapolis Junction, MD as needed.
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.
- 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.
- Bachelor's degree in a technical area with 5 years of relevant experience (3 years with technical MS; 0 years with a PhD in a related field)
- 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 Top Secret (TS/SCI) clearance per business requirements – must be US citizen
- 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)
- Know…
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