Data Science Staff Engineer

OSRAM Opto Semiconductors (Malaysia) Sdn Bhd; Bayan Lepas; On-site; MYR 120,000 - 180,000; Full time

Job summary

ams OSRAM is seeking a data analytics professional to lead algorithm development for wafer map analytics in collaboration with the German data science team. You will identify and implement data science use cases to support R&D of optoelectronic devices, and prepare data with IT/data engineering support.

Role requires a Ph.D./Master’s/Bachelor’s in related fields with at least 3 years of industrial experience, strong statistical and programming skills (Python, Matlab), and excellent

Qualifications

• Ph.D./Masters/Bachelors degree in Data Analytics, Statistics, Mathematics, Computer Science, or equivalent with minimum 3 years of 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.

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.

Skills

Statistical analysis

Data mining

Python programming

Matlab programming

Communication skills

Education

Ph.D./Masters/Bachelors in Data Analytics/Statistics/Computer Science

Tools

Python

Matlab

Job description

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.

Requirement

Ph.D/Master’s/Bachelor’s Degree in Data Analytics, Statistics, Mathematics, Computer Science, or equivalent with minimum 3 years of 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.

Unlock job insights

Hirer responsiveness Salary match Number of applicants

The ams OSRAM Group is a global leader in innovative light and sensor solutions.

With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries.

“Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends.

About ams OSRAM

The ams OSRAM Group is a global leader in innovative light and sensor solutions.

With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries.

“Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends.