Data Science Staff Engineer

OSRAM Opto Semiconductors (Malaysia) Sdn Bhd

Bayan Lepas

Hybrid

MYR 120,000 - 180,000

Full time

4 days ago
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Job summary

OSRAM OS Penang is seeking a data analytics professional to lead the development and deployment of wafer map analytics software for local solutions, in close collaboration with the German data science team.

You will identify data science use cases to support R&D of optoelectronic devices, prepare data with IT and data engineering, and apply statistical methods to build predictive models that drive business decisions.

Qualifications

  • Ph.D./Masters/Bachelor in a quantitative field.
  • 3–5 years of industrial data analytics experience.
  • Strong statistical and analytical skills with programming experience (Python, Matlab).

Responsibilities

  • Lead and own algorithm development and deployment of wafer map analytics software for local solutions in close collaboration with German data science team.
  • Identification & implementation of data science use cases to support the R&D of optoelectronic devices.
  • Data preparation with support of data engineering team in IT.
  • Apply statistical methods or tools to gain insights and prepare data for predictive modelling.
  • Build models to forecast/predict and solve business problems.
  • Collaborate with R&D to support ramp-up of new optoelectronic technologies via data analytics.

Skills

Python
Matlab
Statistics
Data Analytics
Communication
Semiconductor knowledge

Education

Ph.D./Masters/Bachelor in Data Analytics, Statistics, Mathematics, Computer Science

Job description

ams OSRAM is a global leader in innovative light and sensor solutions. “Sense the power of light” – our success is based on our deep understanding of the potential of light. By adding intelligence to light, we enable our customers to drive transformative applications. Our around 20,000 employees worldwide focus on innovation alongside the societal megatrends of digitalization, smart living, energy efficiency, and sustainability. Whatever your role is, you are a part of a talented team that enjoys exploring and designing new technologies.

Your new responsibilities
  • Lead and own algorithm development and deployment of sophisticated wafer map analytics software for local solutions in close collaboration with German data science team.
  • Identification & implementation of data science use cases, to support the R&D of optoelectronic devices.
  • Data preparation with support of data engineering team in IT.
  • Apply statistical methods or tools, to gain insights and to prepare data for use in predictive & prescriptive modeling.
  • Build models, to forecast/ predict and thus solve business problems.
  • Collaboration with R&D, to support a smooth ramp-up of new optoelectronic technologies via data analytics.
What we look for
  • Ph.D/Master’s/Bachelor’s Degree in Data Analytics, Statistics, Mathematics, Computer Science, or equivalent.
  • Minimum 3-5 years with relevant industrial experience.
  • Highly proficient in statistical & analytic skills.
  • In-depth experience in programming languages (Python, Matlab, etc)
  • Detailed & strong analytical thinking with excellent communication skills.
  • Understanding in semiconductor technologies will be an added advantage.

ams OSRAM is an Equal Employment Opportunity Employer. Diversity, equity and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company. All qualified applications will receive consideration for employment regardless of ethnic, national or social origin, gender, gender identity, sexual orientation, color, religion, age, physical and mental abilities.

Information at a Glance Job ID: 24312 Posting Start Date: 9/17/26 Job Family: Research & Development Career Level: Professional (> 3 years) Company: OSRAM OS Penang Schedules: Full Time Work Model: Hybrid Job Shift: Flex time Regular/Temporary: Regular Department: OS MY Systems, Test and Modeling

Application deadline: As long as the job is listed on our career page, we are looking for suitable candidates.

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