Senior Data Scientist
4 days ago
Job Title: Senior Staff/Principal Data Scientist
Job Summary:
We are seeking a highly skilled Senior Staff/Principal Data Scientist to join our team at Infineon Technologies. As a key member of our organization, you will be responsible for leading and implementing innovative advanced end-to-end solutions on manufacturing product/process that enhance productivity & quality leveraging on data analytics / data science techniques.
Key Responsibilities:
- Lead and Implement Advanced Analytics Solutions: Develop and deploy advanced data analytical methods and tools, including prototyping and rule-based decision-making, to optimize engineering work processes and drive effectiveness in close collaboration with stakeholders.
- Drive Yield, Test, and Quality Enhancement: Establish and provide competency training on data analysis/science & statistical methods to engineering peers/community, and continuously explore and evaluate state-of-the-art techniques to improve Advanced Analytics/Artificial Intelligence solutions efficiency and effectiveness.
- Collaborate with Technical Experts: Drive and collaborate with technical experts on data pipeline development & deployment that support productivity /quality initiatives/projects.
- Develop and Apply Data Science Skills: Apply knowledge in statistical data analysis, data mining/scripting (e.g. Python, R) with good understanding in manufacturing engineering processes, methods & analytical tool, and experience in application of data analysis & data visualization software tools (e.g. KNIME, Tableau).
- Lead and Mentor Team Members: Establish and provide competency training on data analysis/science & statistical methods to engineering peers/community, and lead and mentor team members to ensure successful project delivery.
Requirements:
- Education: Master / PhD in Data Science / Engineering / Computer Science/Info-comm Technology or equivalent with more than 3-5 years of relevant experience in Semiconductor or related industry.
- Skills and Experience: Applied knowledge in statistical data analysis, data mining/scripting (e.g. Python, R) with good understanding in manufacturing engineering processes, methods & analytical tool, and experience in application of data analysis & data visualization software tools (e.g. KNIME, Tableau).
- Artificial Intelligence and Machine Learning: Applied experience in Artificial Intelligence & Machine / Deep Learning projects & applications (e.g. manufacturing) is required.
- Communication and Collaboration: Strong communication skill, self-driven individual with ability to engage and collaborate well in a cross-functional team.
What We Offer:
- Training and Development: Wide range of training offers & planning of career development.
- International Assignments: International assignments.
- Career Advancement Opportunities: Different career paths: Project Management, Technical Ladder, Management & Individual Contributor.
- Flexible Working Hours: Exempt working hours are flexible within core hours (9am-12pm & 2pm- 5.15pm).
- Home Office Options: Home office options for certain tasks or due to personal circumstances. Applicable to exempt employees working on office hours only.
- Part-time Work: Part-time work possible for exempt employees only.
- Sabbatical Leave: Exempt staff could apply up to 3-month sabbatical leave, subject to business situation.
- Medical Coverage: Medical coverage.
- Health Promotion Programs: Health promotion programs.
- Social Recreation Center: Social Recreation Center with facilities, such as gym room, squash, badminton and netball court, zumba and yoga classes, etc.
- On-site Cafeteria: On-site Cafeteria.
- Paid Sick Leave: Paid sick leave according to law.
- Employee Provident Fund: Additional 3% to Employee Provident Fund after 10 years service with Infineon Malacca.
- Re-employment Opportunities: Re-employment opportunities.
- Productivity Incentive Bonus: Productivity incentive bonus.
- Bus Service: Bus service for shift employees.
- Allocated Car Park: Allocated carpark for disabled and pregnant employees.
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