Manufacturing Data Science - IPP - Expert System

STMicroelectronics
Singapore, SG
On-site

Job Description

OUR STORY

At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.

When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.

Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.

Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.

YOUR ROLE

YOUR SKILLS & EXPERIENCES

ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.

At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.

To discover more, visit st.com/careers.

Skills & Requirements

Technical Skills

AiMachine learningReinforcement learningMultiagent rlPlanning and decision making under uncertaintyRule based or knowledge-based systemsPythonAi/ml ecosystemsPytorchTensorflowScikitlearnRl librariesSimulation and modeling of manufacturing or logistics systemsDiscrete event simulationAgent-based simulationDigital twinsOperations researchOptimizationSchedulingRoutingResource allocationReal operational and equipment dataCleaningFeature engineeringValidationKpisThroughputWipCycle timeOeeCostCollaborativeCuriousProactiveAble to work with cross functional teamsAble to incorporate domain expert feedback into ai systemsEnglish business proficiencyManufacturingData science

Salary

$50,000+

year

Employment Type

FULL TIME

Level

Mid-Level

Posted

4/28/2026

Apply Now

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