Principal / Sr. Principal Data Scientist – Machine Learning and Predictive Analytics

Northrop Grumman Corp. (AU); Melbourne (FL); On-site; USD 120,000 - 150,000; Full time

Job summary

Northrop Grumman is looking for a Principal/Sr. Principal Data Scientist in Melbourne, Florida. This role involves leading machine learning and predictive analytics development and collaborates with teams to drive innovation.

The ideal candidate will possess a Ph.D. and have over 10 years of experience in the field, with a strong emphasis on leadership and mentoring junior staff. Expect to stay updated with new trends and technologies while developing data-driven business solutions.

Qualifications

• Ph.D. in a relevant field.
• 10+ years of experience in machine learning and predictive analytics.
• Proven track record in developing successful solutions.

Responsibilities

• Lead the development of machine learning and predictive analytics solutions.
• Collaborate with teams to identify business opportunities.
• Mentor and lead junior data scientists and engineers.

Skills

Machine learning

Predictive analytics

Leadership

Mentoring

AWS

Education

Ph.D. in Computer Science, Statistics, Mathematics, or related field

Job description

As a Principal/Sr. Principal Data Scientist, you will lead the development and implementation of machine learning and predictive analytics solutions to drive business growth and innovation. You will work closely with cross-functional teams to identify business opportunities and develop data-driven solutions to drive business outcomes. You will also be responsible for mentoring and leading junior data scientists and engineers to develop their skills and expertise.

Key Responsibilities:

• Lead the development and implementation of machine learning and predictive analytics solutions to drive business growth and innovation.
• Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions to drive business outcomes.
• Mentor and lead junior data scientists and engineers to develop their skills and expertise.
• Develop and maintain complex data pipelines and models to support business needs.
• Stay up-to-date with emerging trends and technologies in machine learning and predictive analytics.

Requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 10+ years of experience in machine learning and predictive analytics.
• Proven track record of developing and implementing successful machine learning and predictive analytics solutions.
• Strong leadership and mentoring skills.
• Experience with AWS and cloud-based technologies.