• Lead internal teams to drive innovation initiatives and deliver long term value-added propositions for internal customers • Independently develop new model architectures and frameworks, training methodologies, data representation, validation and evaluation, and integration of state-of-the-art approaches such as generative AI • Design and write programs and scripts in various languages such as Python, SQL, R, SparQL on-prem, and other big data computing platforms • Engage in large-scale model training using distributed processing systems such as Ray and SPARK • Design and develop deep learning systems that can operate on tabular and graph data which requires advanced knowledge in network architectures and graph computations • Design and implement AI systems that leverage agent-based architectures using well-known frameworks (e.g., LangChain, Pydantic AI, DsPy), enabling dynamic, context-aware decision-making and interaction across enterprise applications • Stay abreast of cutting-edge research and translate academic advancements into practical solutions • Deliver analytic insights and recommendations in succinct and compelling presentations for internal stakeholders and senior management • Identify strategies and opportunities for automation • Provide mentorship and training to junior colleagues and maintain progress on all initiatives without supervision

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: None TRAVEL: Yes, 10% of the TimeDescription 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. 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. Are you interested in expanding your career through experience and exposure, all while supporting a mission that seeks to ensure the security of our nation and its allies? If so, then Northrop Grumman is the place for you. With us, you’ll discover a culture of curiosity and collaboration that will have you Defining Possible from the day you start. Northrop Grumman is currently seeking a Data Scientist, Insights & Intelligence – Level 3, to join our Insights & Intelligence organization. This role is located in our Falls Church VA facility. We will consider a fully remote working scenario for this role as well. 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 Data Scientist – Level 3, 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. In this job, you will: - 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 approaches. - Apply deep analytical thinking to decompose complex problems—critically evaluate data quality and relevance, challenge assumptions, and design methods that address the business need. - Develop statistical models, machine learning solutions, and analytical frameworks that deliver actionable insights and drive operational decisions. - Build 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 making. - Write production-quality Python code and develop analytical pipelines using cloud-based platforms (AWS, Databricks) to support scalable and reproducible data science workflows. - Deliver insights through multiple channels—executive recommendations, analytical reports, interactive dashboards, and direct consultation with business leaders. - Take ownership of the technical quality and business impact of your work—make thoughtful methodological decisions, validate approaches rigorously, and stand behind your recommendations. - Stay current on analytical methods, statistical techniques, and domain-specific best practices to continuously improve the quality and impact of your work. - Other duties as assigned. If this job description reads like it was written specifically for you, consider joining our team! Basic Qualifications: - Bachelor’s degree with 5+ years of relevant professional experience in data science or data analysis – OR – Master’s degree with 3+ years of relevant professional experience in data science or data analysis. - Proficiency with Python, SQL, and Git. - Deep understanding of statistical methods, machine learning algorithms, and when to apply different analytical techniques. - Experience developing and deploying machine learning models in production environments. - Proven ability to translate complex business problems into rigorous analytical frameworks. - Demonstrated problem‑solving and critical‑thinking skills with an ability to handle complex analytical challenges. - Excellent communication skills and ability to deliver compelling, actionable recommendations to non‑technical stakeholders. - Strong track record of ownership and accountability for technical decisions and project outcomes. - No clearance required to start. Preferred Qualifications: - Experience with AWS and Databricks for data processing and model development. - Experience with PySpark for large-scale data transformation and analytics. - Proven experience building and deploying web‑based visualization or decision‑support tools for business use cases (e.g., Streamlit, Dash). - Knowledge of MLOps concepts and best practices for deploying models to production. - Understanding of containerization (e.g., Docker) and cloud-based deployment. - Familiarity with advanced analytical techniques such as causal inference, experimental design, time series forecasting, optimization, or Bayesian methods. - Domain experience in manufacturing analytics, operations research, supply chain optimization, or financial forecasting. - Background in consulting, forward‑deployed engineering, or other client‑facing technical roles where you translated ambiguous business problems into technical solutions. Your Distinct Strengths: - 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 business problem, challenge your assumptions, and dig into the data to understand what's really happening. - You're intellectually curious: You get excited about jumping into new domains, asking smart questions, and learning enough about unfamiliar business problems to design the right analytical approach. - You have high agency: You proactively gather information, identify blockers, can operate in ambiguity, and make thoughtful decisions with incomplete information. - You take ownership: You're accountable for both the technical quality and business impact of your work. When you deliver a recommendation, you stand behind the methodology and can defend your approach. - You're a bridge‑builder: You can talk to engineers about implementation, business stakeholders about their problems, and executives about strategic implications. You translate and collaborate across domains. Primary Level Salary Range: $113,900.00 - $187,900.00 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.

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth • Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies • Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques • Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written • Identify what matters most and prioritize ruthlessly for the area you will own • Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact • Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Role DescriptionHow many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! Responsibilities - Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth - Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies - Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques - Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written - Identify what matters most and prioritize ruthlessly for the area you will own - Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact - Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company - Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction - Proficiency in SQL, Python or other programming/scripting languages - Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees - Ability to provide data insights and recommendations for 0→1 product even when sample size is small - Strong verbal and written communication skills Preferred Qualifications - Experience in startups or building 0→1 products - Expertise in using data to inform AI/ML product development - Background in SaaS product Compensation US Zone 1 This role is not available in Zone 1 US Zone 2 $173,700—$234,900 USD US Zone 3 $154,400—$208,800 USD