Senior Staff Engineer Data Scientist- Lead and implement new and advance end-to-end solutions on product /process productivity & quality improvement with optimal use of data analytics / data science techniquesIn your new role you will: Lead and implement new and advanced end-to-end solutions on product/process productivity & quality improvement with optimal use of data analytics / data science techniques Explore & deploy relevant advanced methods in data analysis & tooling including development/proto-typing - closed interaction with engineering/business users, experts & IT Driver in developing Yield / Test / Quality enhancement methodology and business processes for harmonization/optimization for cross site-deployment & implementation Able to leverage on advanced data analytics skills, work closely with engineering team towards problem-solving relating to product, process & test technology topics across the manufacturing domain. Establish & provide competent training on data analysis/science & statistical methods to engineering peers/community Develop optimum & efficient data analysis methodologies including rule-based / logical decisions for engineering work processes optimization & effectiveness Continuously explore and evaluate state-of-the-art techniques to improve Artificial Intelligence solutions efficiency and effectiveness Drive & collaborate with technical experts on data development & deployment that support productivity /quality initiatives/projectsYou are best equipped for this task if you have: Master / PhD in Data Science / Engineering / Computer Science/Info-comm Technology or equivalent with more than 5 years of relevant experience in Semiconductor or related industry Applied knowledge in statistical data analysis, data mining/scripting(eg. Python, R) with good understanding in manufacturing engineering processes, methods & analytical tool Applied experience in Artificial Intelligence & Machine / Deep Learning projects & applications (eg. manufacturing) is required Experience in application of data analysis & data visualization software tools eg. KNIME, Tableau and technique Knowledge of machine / deep learning frameworks such as Keras,Tensorflow, Pytorc Relevant knowledge in Front-End / Assembly / Final-Test manufacturing process are essential Candidate with experience in product engineering & device testing/advanced product & process control / problem solving and process improvement methodologies (8D, Lean 6 Sigma) is advantageous Strong communication skill, self-driven individual with ability to engage and collaborate well in a cross-functional teamCandidate with stronger competencies and experiences can be consider for Principal Engineer BenefitsWide range of training offers & planning of career developmentInternational assignmentsDifferent career paths: Project Management, Technical Ladder, Management & Individual ContributorStaggered working hours for normal shift employees Home office options, certain conditions apply.Part-time work possible (applicable for normal shift employees)On-site day-care centerMedical coverageOn-site social counselling and works doctorHealth promotion programsOn-site canteenPrivate insurance offersPaid sick leave according to law, personal accident & work injury insurance, long term illness leaveRetirement benefits, re-employment opportunities, employment assistance paymentPerformance bonusProvision of long haul transport for shift and shuttle services for office to defray transport costs
