Data Scientist Analyst (Level 4)

You will be the Data Scientist Analyst (Level 4) for the Supply Chain Analytics and Affordability Team. Our team is responsible for transforming refined data into actionable insights that drive supplychain decisions and delivering businessready data products.

What You Will Be Doing

As the Data Scientist Analyst (Level 4) you will be responsible for designing, building, and maintaining data marts that enable supplychain analytics.

Your responsibilities will include, but are not limited to:

• Design and implement data marts that contain businessready metrics and insights.
• Collaborate with data engineers, data scientists, BI developers, and business stakeholders to ensure technical and functional requirements are met.
• Translate refined data into actionable insights that influence supplychain decisions.
• Develop and maintain documentation for datamart architecture, data lineage, and usage guidelines.
• Support fastpaced, crossfunctional projects by providing timely data solutions and troubleshooting issues.

Why Join Us

The ideal candidate is a collaborative problemsolver who thrives in a dynamic environment and is passionate about turning data into strategic advantage. This role offers a blend of onsite work with flexible scheduling, a supportive culture, and access to comprehensive benefits. Learn more about Lockheed Martins comprehensive benefits package here .

Further Information About This Opportunity

This position is in Dallas. Discover more about our Dallas, Texas location.

MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access.

Bachelor's degree in Computer Science, Information Systems, or a related field.
Experience in building data models for end user consumption, optimizing queries and data structures for analytic purposes
Experience writing data transformation jobs (e.g. metrics, aggregations, etc.) using SQL
Strong knowledge of data management principles, best practices, and standards, including data governance, data quality, and data security.
Excellent communication and collaboration skills, with the ability to work closely with data architects, developers, and business stakeholders.
Strong analytical and problem-solving skills, with the ability to analyze complex data sets and identify patterns, trends, and insights. Experience in entity-relationship modeling, data warehousing, and big data modeling.
Experience with Python or R, especially relating to data orchestration tasks
Strong familiarity with data warehousing concepts, business intelligence tools, and data analytics platforms
Understanding of LM supply chain and/or procurement processes