Senior Principal Data Scientist

Northrop Grumman; Roy (UT); On-site; USD 108,000 - 162,000; Full time

Benefits offered by this job

Health insurance coverage

Life and disability insurance

Savings plan

Company paid holidays

PTO for vacation and personal needs

Annual bonuses

Long term incentives

Overtime eligibility

Shift differential

Discretionary bonus

Job summary

Northrop Grumman Defense Systems seeks a Senior Principal Data Scientist to support the Sentinel program from either Roy, Utah or Manhattan Beach, California. The Division Analytics team will collaborate with frontend data visualization specialists and product stakeholders to develop, deploy, and maintain data pipelines drawn from authoritative data sources for metrics and analytics.

These pipelines deliver actionable insights to influence decision making at the highest levels and within

Qualifications

• Eight years of relevant experience with a Bachelor's degree; six years with a Master’s; four years with a PhD; or four additional years of relevant experience in lieu of a degree.
• Active DoD Secret security clearance with SAP eligibility.
• Proficiency in writing, optimizing, and troubleshooting complex SQL queries.
• Experience managing and maintaining SQL databases.
• Experience defining and tracking KPIs and metrics related to business and engineering analytics.
• Expertise in developing and managing ETL processes.
• Advanced proficiency in Python for data analysis, manipulation, and automation.
• Proficient with version control systems such as Git.
• Familiarity with Agile/Scrum methodologies for project management.
• Strong communication skills to present findings to both technical and non-technical stakeholders.

Responsibilities

• Collaborate with a cross functional team of professionals dedicated to analytics and data solutions.
• Engage with program teams across the full scope to capture analytics needs and data modeling requirements.
• Contribute to the architecture and construction of data pipelines connected to multiple program ASoTs.
• Apply data engineering practices to manage infrastructure, storage, and transformation of data for scalable analytics.
• Develop and publish Tableau dashboards and visualizations used by program stakeholders at all levels.
• Leverage advanced data science techniques to create analytical solutions that yield program insights.
• Operate within an Agile framework focused on delivering outcomes for stakeholders.
• Recommend process improvements to business leaders to enhance efficiency.
• Build, deploy, and maintain data pipelines from authoritative data sources needed for metrics and analytics.

Skills

Data analytics

SQL querying

ETL processes

Python

Git

Agile/Scrum

KPIs & metrics

Data pipelines

Communication

Education

Bachelor's degree

Master's degree

PhD

Tools

Tableau

Tableau Server

SQL

Python

Git

IBM Rational DOORS

DOORS eXtension Language (DXL)

Teamwork Cloud Cameo modeling software

Cameo modeling software

AWS

Azure

Google Cloud

Job description

Senior Principal Data Scientist role on the Sentinel program requiring DoD Secret clearance, with on site work in Roy, Utah or Manhattan Beach, California.

Responsibilities

• Collaborate with a cross functional team of professionals dedicated to analytics and data solutions.
• Engage with program teams across the full scope to capture analytics needs and data modeling requirements.
• Contribute to the architecture and construction of data pipelines connected to multiple program ASoTs.
• Apply data engineering practices to manage infrastructure, storage, and transformation of data for scalable analytics.
• Develop and publish Tableau dashboards and visualizations used by program stakeholders at all levels.
• Leverage advanced data science techniques to create analytical solutions that yield program insights.
• Operate within an Agile framework focused on delivering outcomes for stakeholders.
• Recommend process improvements to business leaders to enhance efficiency.
• Build, deploy, and maintain data pipelines from authoritative data sources needed for metrics and analytics.

Requirements

• Eight years of relevant experience with a Bachelor\'s degree; six years with a Master\'s; four years with a PhD; or four additional years of relevant experience in lieu of a degree.
• Active DoD Secret security clearance at time of application, current and within scope, with the ability to obtain and maintain SAP approval within a reasonable period.
• Proficiency in writing, optimizing, and troubleshooting complex SQL queries.
• Experience managing and maintaining SQL databases.
• Experience defining and tracking KPIs and metrics related to business and engineering analytics.
• Expertise in developing and managing ETL processes.
• Advanced proficiency in Python for data analysis, manipulation, and automation.
• Proficient with version control systems such as Git.
• Familiarity with Agile/Scrum methodologies for project management.
• Strong communication skills to present findings to both technical and non-technical stakeholders.

Technologies

• Tableau
• Tableau Server
• SQL
• Python
• Git
• IBM Rational DOORS
• DOORS eXtension Language (DXL)
• Teamwork Cloud Cameo modeling software
• Cameo modeling software
• AWS
• Azure
• Google Cloud

Benefits

• Health insurance coverage
• Life and disability insurance
• Savings plan
• Company paid holidays
• PTO for vacation and personal needs
• Annual bonuses
• Long term incentives
• Overtime eligibility
• Shift differential
• Discretionary bonus

Compensation

Salary range: USD 108,200 - 162,400 per year.

Description

Northrop Grumman Defense Systems seeks a Senior Principal Data Scientist to support the Sentinel program from either Roy, Utah or Manhattan Beach, California. The Division Analytics team, led by the Chief Data Engineer, will collaborate with frontend data visualization specialists and product stakeholders to develop, deploy, and maintain data pipelines drawn from authoritative data sources for metrics and analytics. These pipelines are essential for delivering actionable insights that influence decision making at the highest levels and within individual teams.