Sentinel Staff Data Scientist -18948

Northrop Grumman•Manhattan Beach, CA

5d•$168,200 - $292,100•Hybrid

About The Position

Northrop Grumman Defense Systems is seeking a Staff Data Scientist. This position will be located in Roy, Utah or Manhattan Beach, CA and will support the Sentinel program. The SDS Division Analytics team is seeking an experienced data professional to serve as a data engineering technical lead. They will work directly with the Division Analytics Chief Data Engineer, frontend data visualization specialists, and product stakeholders by developing, deploying, and maintaining data pipelines from authoritative data sources needed for metrics and analytics. These data pipelines are crucial for the Division to gain insight into their data to positively influence decision-making at the highest levels and within individual teams. The data engineering technical lead will oversee both long-range goals and near-term objectives of the Division Analytics team related to collecting, managing, and converting raw data into usable information for business analysts to interpret and for division-wide accessibility. They will provide mentorship and leadership to guide junior data engineers, conduct code reviews, and champion engineering best practices.

Requirements

12 years professional experience with Bachelors in Science; 10 years with Masters; 8 years with PhD or an additional 4 years of related experience in lieu of degree
Must be a US citizen.
Experience using various programming languages and tools for data science and data engineering; e.g., Python, SQL, Neo4j, Tableau, AWS, etc.
Experience developing, deploying, and maintaining production-quality data ETL/ELT pipelines from various sources using APIs, custom code, and other extraction methods
Experience handling structured and unstructured data and using database management systems
Experience with distributed (cloud) data storage structures, local databases, and other data storage forms

Nice To Haves

Experience with DevOps to include automated deployment (CI/CD) and management of containerization
Hands-on experience with pipeline orchestration concepts
Experience in data governance and quality such as establishing data quality frameworks, managing metadata, and the implementing security and compliance protocols
Experience working with customers/stakeholders to gather, define, and deliver on analytics requirements, often derived from ambiguous goals or objectives
Demonstrates system thinking with the ability to see the big picture and make strategic architectural decisions over quick fixes

Responsibilities

Developing, deploying, and maintaining data pipelines from authoritative data sources needed for metrics and analytics.
Overseeing both long-range goals and near-term objectives of the Division Analytics team related to collecting, managing, and converting raw data into usable information for business analysts to interpret and for division-wide accessibility.
Providing mentorship and leadership to guide junior data engineers.
Conducting code reviews.
Championing engineering best practices.