Kerja AI

Data Science Engineer

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Your Tasks

  • Support algorithm development and deployment of sophisticated wafer map analytics software in close collaboration with the German data science team.
  • Identification of data science use cases to support the R&D of optoelectronic devices.
  • Data preparation with support of the 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.

Who We Are Looking For

  • Bachelor's Degree in Data Analytics, Statistics, Mathematics, Computer Science, or equivalent 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.
  • Good in decision making & presentation skills.
  • Understanding in semiconductor technologies will be an added advantage.

About ams OSRAM

The ams OSRAM Group is a global leader in innovative light and sensor solutions. As a specialist in Digital Photonics, we combine engineering excellence with cutting-edge global manufacturing to offer our customers the broadest portfolio of digital light and sensing technologies. "Sense the power of light" — our success has ever since been based on a deep understanding of the potential of light. For 120 years, we have been developing innovations that move markets: from automotive applications and industrial manufacturing to medical and consumer electronics. Around 19,000 employees worldwide are working on pioneering solutions alongside societal megatrends such as smart mobility, artificial intelligence, augmented reality, smart health, and robotics. This is reflected in over 12,000 patents granted and applied for.

The ams OSRAM Opto Semiconductors business offers high-performance opto semiconductor components and in-depth support for state-of-the-art system solutions based on innovative semiconductor light sources. The Business Unit can look back on almost fifty years of production and development expertise.

Corporate Culture

The ams OSRAM culture focuses on variety and innovation. A more than motivating working atmosphere, combined with attractive training opportunities and performance-oriented compensation encourage our employees' actions and promote their entrepreneurial spirit. An agile mindset, trust and integrity – for us at ams OSRAM, these values are not just empty promises, but an integral part of our corporate culture that we live every day. In fact, these are the key prerequisites for employees to fulfill even the highest requirements.

Equal Employment Opportunity

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.

Job Details

  • Job ID: 23768
  • Published: 2026/07/22
  • Experience level: Early Professional (0-3 Years)
  • Type of contract: Permanent
  • Employment type: Full-time
  • Work Model: Hybrid
  • Business unit: Opto Semiconductors (OS)
  • Organization: OSRAM OS Penang
  • Job field: Research & Development

How to Apply

You can apply for this job as long as this job posting is open. For data protection reasons, we only accept applications submitted through our applicant portal. This allows you to view the status of your application in your profile at any time.

 

About the Company

About the Job

Posted10 hours ago
Apply BeforeAug 29, 2026
Work SetupHybrid
CategoryData Science
CityPenang
CountryMalaysia
Skills / Tags
Data SciencePythonMatlabStatistical AnalysisSemiconductorWafer Map AnalyticsPredictive Modeling
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