Industrial Data Scientist: AI for Manufacturing Analytics

Northrop Grumman Corp. (JP)

Town of Florida, Northern (NY, KY)

Hybrid

USD 87,000 - 131,000

Full time

14 days+
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Job summary

Northrop Grumman Mission Systems is seeking a Data Scientist for the Advanced Packaging µ-Line in Apopka, Florida. You will analyze production data, develop dashboards, and collaborate with cross-functional teams to drive cost reductions and schedule improvements.

The role requires experience with MES, SAP data, and data visualization tools such as Tableau/Power BI; U.S. citizenship and ability to obtain/maintain a Secret clearance are required.

Qualifications

  • Bachelors in a STEM-related field with a minimum of 2 years of relevant experience; Master’s with 0 years of experience.
  • Experience with Tableau development or similar data application development.
  • Experience in creating interactive dashboards.
  • Experience in utilizing data from a Manufacturing Execution System (MES).
  • Experience with merging large datasets from multiple sources.
  • Experience with building/presenting different metrics and reports.
  • Experience with SQL and relational databases.
  • The ability to obtain/maintain a Secret Clearance.
  • US Citizenship

Responsibilities

  • 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.
  • Utilize Data Analytics to analyze existing operational processes and develops metrics and reporting to optimize and improve program & operational performance.
  • Lead efforts as Digital Transformation Champion to align Apopka goals with sector and enterprise strategies, including AI adoption.
  • Create new metrics and data visualizations to monitor shop floor performance.
  • Analyze lead times, queue times, work-in-process, cycle times, and throughput to meet customer demand most effectively and efficiently.
  • Build scalable and sustainable models to optimize product flow, while incorporating cost, schedule, and resource constraints.
  • Develop 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.
  • Translate business questions and identifying and implementing appropriate modeling or analysis techniques
  • Take projects from initial concept through deployment
  • Creatie data visualizations using common tools (Python or R libraries, Power BI, Tableau, etc.)
  • Utilize interpersonal and communication skills to present complex models or analyses to business partners
  • Collaborate with stakeholders, teammates, and business leaders
  • Experience with the Microsoft Office suite.

Skills

Tableau development
Interactive dashboards
MES data
Data merging
Metrics & reporting
SQL
Security clearance
US Citizenship
Data analytics

Education

Bachelors in STEM
Master’s with 0 years

Tools

SAP
Power BI
Tableau
ERP systems

Job description

Northrop Grumman Mission Systems is seeking a Data Scientist for the Advanced Packaging µ-Line in Apopka, Florida. You will analyze production data, develop dashboards, and collaborate with cross-functional teams to drive cost reductions and schedule improvements.

The role requires experience with MES, SAP data, and data visualization tools such as Tableau/Power BI; U.S. citizenship and ability to obtain/maintain a Secret clearance are required.

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