Note: The job is a remote job and is open to candidates in USA. Northrop Grumman is a leader in technological advancements, and they are seeking a Principal Data Scientist to join their Insights & Intelligence organization. The role involves leading analytical projects, developing statistical models, and delivering insights to drive high-impact business decisions.
Responsibilities
- 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
Skills
- Minimum of 5 years of hands-on experience in data science, data analysis, or other relevant professional experience
- Must have strong proficiency with Python, SQL, and Git
- Must have deep understanding of statistical methods, machine learning algorithms, and when to apply different analytical techniques
- Must have experience developing and deploying machine learning models in production environments
- Must have proven ability to translate complex business problems into rigorous analytical frameworks
- Must have demonstrated problem‑solving and critical‑thinking skills with an ability to handle complex analytical challenges
- Must have excellent communication skills and ability to deliver compelling, actionable recommendations to non‑technical stakeholders
- Must have strong track record of ownership and accountability for technical decisions and project outcomes
- 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 program management, business management, operations research, earned value management, or financial forecasting
- Background in consulting, forward‑deployed engineering, or other client‑facing technical roles where you translated ambiguous business problems into technical solutions
Benefits
- 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.
- 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.
- This is a hybrid/remote position.
- The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off.
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