Lead Data Scientist – Production Analytics & AI

Infineon; Western Australia; On-site; AUD 90,000 - 130,000; Full time

Job summary

Infineon in Australia seeks a Data Scientist for the ATV Supply Chain team to turn complex data into actionable insights, and to design intelligent systems behind chip production processes. You will lead end-to-end projects, build PoCs, and craft analytics solutions across production management domains.

The role emphasizes data-driven business analysis, collaboration with global users, and delivering models that inform strategic decisions in a fast-changing tech environment.

Qualifications

• Degree in Data Analytics/Science, Computer Engineering, IT or comparable.
• Ideally 1–3 years work experience in software development (C#, Java), especially in AI (Python, R) and LLM.
• Self-driven professional with strong analytical ability and motivation to work with fast-changing technology.

Responsibilities

• Lead / support end-to-end data science projects, including cleaning of source data and working with large data sets (processing, manipulation, analysis, and modeling).
• Translate data into useful insights to drive business decisions in production management.
• AI solution concept and architecture definition for production management domains.
• Translate business requirements into scope and targets and construct prototype for PoC.
• Create analytical solutions that develop and deliver models and insights for actionable plans.
• Collaborate with ATV production management team to support business needs, automation, and ad-hoc analysis.

Skills

Analytical ability

Self-driven

Facilitate discussion

Business analysis

Education

Data Analytics/Science, Computer Engineering, IT degree

Relevant higher education

Tools

Python

SQL

R

C#

Java

Job description

Infineon in Australia seeks a Data Scientist for the ATV Supply Chain team to turn complex data into actionable insights, and to design intelligent systems behind chip production processes. You will lead end-to-end projects, build PoCs, and craft analytics solutions across production management domains.

The role emphasizes data-driven business analysis, collaboration with global users, and delivering models that inform strategic decisions in a fast-changing tech environment.