Data Scientist Analyst Sr Security Clearance

Position: Data Scientist Analyst Sr with Security Clearance
Location: White Sands Missile Range

Job Number 728504

Description:

WHO WE ARE Lockheed Martin is a global leader in aerospace, defense, and technology solutions, dedicated to pushing the boundaries of innovation and shaping the future of the industry. With a rich legacy of excellence and a commitment to delivering advanced capabilities to our customers, we are proud to be at the forefront of cutting-edge technology and engineering. LM SPACE: WHAT WE'RE DOING Space is a critical domain, connecting our technologies, our security and our humanity.

While others view space as a destination, we see it as a realm of possibilities, where we can do more - we can innovate, invest, inspire and integrate our capabilities to transform the future. And we're reimagining how space can connect us, ensuring security and prosperity. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve.

We're creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision. We're erasing boundaries and forming partnerships across industries and around the world. We're advancing spacecraft and the workforce to fuel the next generation. THE WORK Lockheed Martin Space in White Sands Missile Range, NM is seeking a level 3 Data Scientist Analyst to design, build, and maintain data sources, pipelines, databases, and Tableau dashboards using SQL, Linux, Python, and software-development best practices.

As Data Science Analyst, you will:
• Lead acquisition and integration of mission data from diverse sources, designing and maintaining automated pipelines that cleanse, parse, and deliver mission information to real-time metrics and trending dashboards
• Collaborate with DE Enterprise, system factories, and mission stakeholders to establish data pipelines that load cleaned data into dashboards and advanced visualizations.
• Diagnose and resolve unexpected data-pipeline anomalies by analyzing discrepancy reports, troubleshooting collection faults, isolating issues, and executing real-time manual interventions to restore data pipeline functionality
• Conduct regular data-quality audits, resolve inconsistencies, and drive process-improvement initiatives to enhance data reliability and pipeline efficiency
• Lead weekly Sprints, standups, and team meetings, preparing and delivering concise management and customer briefs
• Guide and mentor junior Data Scientist Analysts, establish and continuously refine departmental procedures, and deliver comprehensive training on analytical tools This is an EARLY-MID CAREER (level
3) ROLE where candidates typically require 3+ years of professional experience and a BS degree. If you think this describes you and you are looking for an opportunity to grow and challenge yourself then we would love for you to apply! WHY JOIN US Opportunity for Impact:
Join a team that is at the forefront of innovation in the aerospace and defense industry and make a significant impact on the success of our organization. Professional Development:
Take advantage of unparalleled opportunities for growth and advancement within Lockheed Martin, with access to world-class training and development programs. Collaborative Culture:
Work alongside some of the brightest minds in the industry who share your passion for excellence and who are committed to supporting each other's success. Competitive Benefits:
Lockheed Martin employees play an active role in strengthening the quality of life where we live and work by volunteering more than 850,000 hours annually. Here are some of the benefits you can enjoy:
• Medical
• Dental
• 401k
• Paid time off
• Work/life balance
• Career development
• Mentorship opportunities
• Rewards & recognition We care about our employees and offer a generous benefits package : 401K, PTO, and work/life balance and more.

Basic Qualifications:

• Proven experience in metrics development, data analysis, and data reporting
• Proficiency with data visualization tools
• Experience in Python, SQL, Linux, or a comparable programming language
• Demonstrated ability to prioritize tasks, manage time…