Principal Data Scientist – Insights and Intelligence

🔥 1 minute ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Northrop Grumman

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1939

🚀 Aerospace

Aerospace

Northrop Grumman is a leading global aerospace and defense company, recognized for its innovative solutions in air, cyber, land, sea, and space domains. With a focus on advanced technologies and innovation, Northrop Grumman provides unmatched expertise in military communications, satellite communications, and microelectronics manufacturing. The company is committed to solving complex challenges and 'defining possible' by transforming the concepts of what's achievable. Northrop Grumman is also actively involved in sustainability efforts and offers career opportunities to various levels of professionals, including veterans and entry-level candidates.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Health insurance coverage • Life and disability insurance • Savings plan • Company paid holidays • Paid time off (PTO) for vacation and/or personal business