Principal Data Scientist Insights & Intelligence

Skip to main contentHomeProfileJob SearchApplicationsMy EventsJoin Talent NetworkSign InSingle PositionView All JobsRemotePrincipal Data Scientist Insights & IntelligenceUnited States-RemoteApply NowFind out how well you match with this jobUpload your resumeJob descriptionJob IDR10241447RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: NoneTRAVEL: Yes, 10% of the TimeDescriptionAt 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.At Northrop Grumman, the Insights & Intelligence (i2) organization seeks to embed trusted AI and data insights into every business decision at the company. We build lightweight, production‑grade analytics solutions that solve problems traditional enterprise tools struggle to meet.Our team operates with high autonomy, working closely with engineers and business leaders to identify high‑value problems, build apps and other products from the ground up, and deploy them into production. We value speed, intellectual curiosity, and the ability to toggle between "prototype rapidly" and "engineer for production" based on what the situation demands.As a principal data scientist, you will lead analytical projects that drive high-impact business decisions—working with program teams to deeply understand their challenges, developing rigorous analytical approaches and models, and delivering insights through production-quality code, applications, and strategic recommendations.Job duties include, but are not limited to:Work directly with stakeholders (engineers, program managers, subject matter experts) to scope problems, formulate the right analytical questions, and translate business challenges into rigorous data science approachesApply deep analytical thinking to decompose complex problems—critically evaluate data quality and relevance, challenge assumptions, and design methods that address the business needDevelop statistical models, machine learning solutions, and analytical frameworks that deliver actionable insights and drive operational decisionsBuild user‑friendly, production‑grade ML/AI applications (e.g., Streamlit, Dash) and analytical artifacts that provide data insights to teams across the enterprise and enable better decision makingWrite production-quality Python code and develop analytical pipelines using cloud-based platforms (AWS, Databricks) to support scalable and reproducible data science workflowsDeliver insights through multiple channels—executive recommendations, analytical reports, interactive dashboards, and direct consultation with business leadersTake ownership of the technical quality and business impact of your work—make thoughtful methodological decisions, validate approaches rigorously, and stand behind your recommendationsStay current on analytical methods, statistical techniques, and domain-specific best practices to continuously improve the quality and impact of your workWhat Makes You Successful in this role:You balance speed with quality: You can assess when "good enough now" beats "perfect later" and prioritize impact and working solutions over perfection.You think deeply about problems: You don't just apply standard methods—you critically evaluate whether your analytical approach addresses the...