Statistician - Real-Time Data Analytics for Manufacturing

Thornton Tomasetti; Donegal Municipal District; On-site; EUR 65,000 - 90,000; Full time

Job summary

Abbott in Ireland is seeking a data analytics professional to independently mine large datasets and provide real-time analysis in support of manufacturing processes. You will interpret statistical results and communicate insights to engineers and leadership, while collaborating on experiments and data-driven improvements.

The role requires 4+ years in a related field, strong programming (Python/R/SAS) skills, and experience with relational databases.

Qualifications

• Bachelor's Degree or higher in a quantitative field (Math, Data Science, Statistics, Biostatistics, etc.).
• Minimum of 4 years experience in a similar data analytics role.
• Proficient in a programming language such as Python, R, SAS, JMP or similar.
• Understanding of probability, statistical process control, hypothesis testing, non-parametric statistics, time series analysis, linear and logistic regression.
• Experience with relational databases (Oracle, MySQL, MS Access, etc.).

Responsibilities

• Independently data mine large, complex datasets to answer research questions.
• Provide real-time data analysis support to manufacturing for process adjustments and yield analysis.
• Interpret statistical findings into business context and communicate results to stakeholders.
• Consult on data analysis and tools for trend analysis, root cause analysis, risk assessment, data management and visualization.
• Support technical investigations within the manufacturing unit and assist with method development and variability reduction.
• Collaborate with scientists and engineers on experiments and data analysis to improve processes.

Skills

Data mining

Statistics

Python

R

SAS

JMP

SQL

Education

Bachelor's degree in a quantitative field

Tools

Oracle Databases

MySQL

Microsoft Access

Job description

Abbott in Ireland is seeking a data analytics professional to independently mine large datasets and provide real-time analysis in support of manufacturing processes. You will interpret statistical results and communicate insights to engineers and leadership, while collaborating on experiments and data-driven improvements.

The role requires 4+ years in a related field, strong programming (Python/R/SAS) skills, and experience with relational databases.