Manufacturing Data Scientist: Real-Time Analytics & Impact

Abbott Laboratories; Donegal Municipal District; On-site; EUR 60,000 - 85,000; Full time

Job summary

Abbott Ireland Diabetes Care Division in Donegal Town is seeking a data analytics professional to mine large datasets, provide real-time analysis for manufacturing processes, and translate statistical findings into actionable business insights. You will consult on methods, support investigations, and collaborate on experimental design.

The role requires a quantitative degree, 4+ years' experience, and proficiency in Python or R with SAS/JMP; familiarity with relational databases is a plus.

Qualifications

• Bachelor's degree or higher in a quantitative field (Math/Data Science/Statistics, etc.).
• Minimum of 4 years experience in a similar role.
• Proficiency in programming languages (Python, R, SAS, JMP or similar).
• Solid understanding of probability, SPC, hypothesis testing, time series, regression analysis.

Responsibilities

• Independently mine large, complex datasets to answer research questions.
• Provide real time data analysis support to manufacturing for process adjustments and yield analysis.
• Interpret statistical results into business context for stakeholders.
• Consult on data analysis methods and tools for trend and root cause analysis.
• Support technical investigations within the manufacturing unit.
• Collaborate with scientists/engineers on design of experiments and data interpretation.
• Manage multiple projects with stakeholders, defining questions, timelines and objectives.
• Present statistical results clearly to varied audiences.

Skills

Data mining

Data analysis

Statistical interpretation

Communication

Project management

Education

Bachelor's degree in a quantitative field

Tools

Python

R

SAS

JMP

Oracle databases

MySQL

Microsoft Access

Job description

Abbott Ireland Diabetes Care Division in Donegal Town is seeking a data analytics professional to mine large datasets, provide real-time analysis for manufacturing processes, and translate statistical findings into actionable business insights. You will consult on methods, support investigations, and collaborate on experimental design.

The role requires a quantitative degree, 4+ years' experience, and proficiency in Python or R with SAS/JMP; familiarity with relational databases is a plus.