Data Scientist

Northrop Grumman; United States; On-site; USD 100,000 - 150,000; Full time

Job summary

Northrop Grumman Mission Systems in Apopka, Florida is seeking a Data Scientist to join our Advanced Packaging μ-Line team. You will work alongside manufacturing, production and engineering to turn data into actionable insights that drive cost efficiency and elevated performance.

The role involves extracting data from MES and SAP, building dashboards with Python or R, Power BI or Tableau, and developing metrics to monitor lead times and throughput.

Qualifications

• Bachelor's degree in a STEM field with relevant experience.
• Master's degree in STEM is a plus.
• Strong data analysis and communication skills required.

Responsibilities

• Extract data from MES and SAP to develop production metrics.
• Create dashboards and reports to monitor lead times, queue times and throughput.
• Collaborate with manufacturing, engineering and production teams to drive improvements.
• Develop scalable models to optimize product flow under constraints.
• Drive digital transformation initiatives and AI adoption.
• Present complex analyses to business partners and stakeholders.

Skills

Cross-functional collaboration

Data analysis

Communication

Problem solving

Education

Bachelors in STEM

Masters in STEM (preferred)

Tools

Python

R

Power BI

Tableau

SAP

MES

Job description

RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE REQUIRED FOR START: No

CLEARANCE TYPE: Secret

TRAVEL: Yes, 10% of the Time Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman Mission Systems is a trusted provider of mission-enabling solutions for global security. We have a wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies. Our differentiated battle management and cyber solutions deliver timely, mission-enabling information and provide superior situational awareness and understanding to protect the U.S. and its global allies.

Northrop Grumman Mission Systems is looking for you to join our team as a Data Scientist for our Advanced Packaging Technology µ-Line based in Apopka, Florida .

Northrop Grumman's semiconductor foundry, packaging, integration, and test lines have unique capabilities of supporting a range of production microelectronics and providing leading-edge technology development.

The Apopka Florida wafer bumping µ-Line supports flip chip, 2.5D, and 3D packaging for internal and external production customers as well as emerging technology programs. The line provides a range of bump compositions and processes that include photo, sputter, electro-plating, AOI, and solder-sphere transfer to support flip chip, 2.5D, and 3D packaging using 100 mm to 300mm wafers. The devices supported in Apopka will also be subjected to singulation and die/wafer probe testing.

The Data Scientist is an integral part of the day-to-day operations and routinely works alongside engineering, production and many other organizations here in Apopka, FL. This is a team that comes together to learn, collaborate, and overcome challenges in a fast-paced environment. We are looking for applicants that enjoy working and learning from their peers and are passionate about making a positive difference.

What You'll Get to Do:

• Provide support to the manufacturing floor by working proactively with cross-functional teams to understand frontline problems and implement cost-saving solutions
• Utilize various Continuous Improvement tools to analyze shop floor practices and processes for opportunities to minimize waste, reduce cost, increase capacity and optimize schedule.
• Work with frontline leadership to assess current state reality and define future state possibilities
• Apply systems thinking in the development of metrics to improve product flow from the release of raw materials through product delivery
• Extract data from an MES (Manufacturing Execution System) and SAP to develop production metrics to drive cost and cycle time reductions.
• Utilizes Data Analytics to analyze existing operational processes and develops metrics and reporting to optimize and improve program & operational performance.
• Leads efforts as Digital Transformation Champion to align Apopka goals with sector and enterprise strategies, including AI adoption
• Creates new metrics and data visualizations to monitor shop floor performance.
• Analyzes lead times, queue times, work-in-process, cycle times, and throughput to meet customer demand most effectively and efficiently.
• Builds scalable and sustainable models to optimize product flow, while incorporating cost, schedule, and resource constraints.
• Develops optimized scheduling tools and aligns SAP/MRP systems with an executable plan given various capacity constraints.
• Turn data into insight with appealing, interactive, and responsive dashboards.
• Assess the effectiveness and accuracy of data sources and data gathering techniques.
• Create and maintain data pipelines to operationalize data.
• Generate metrics and capacity reports.
• Translating business questions and identifying and implementing appropriate modeling or analysis techniques
• Taking projects from initial concept through deployment
• Creating data visualizations using common tools (Python or R libraries, Power BI, Tableau, etc.)
• Utilizing interpersonal and communication skills to present complex models or analyses to business partners
• Collaborating with stakeholders, teammates, and business leaders
• Experience with the Microsoft Office suite.

Basic Qualifications Data Scientist:

Bachelors in a STEM-related field with 2 years of experience; Master's with 0 y