1 час назад
Analyst Digital Mfg Data Science
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analyst Digital Mfg Data Science (Manufacturing Data Science): Developing analytics, machine learning, and AI solutions for manufacturing and business challenges with an accent on large-scale data preparation, exploratory analysis, and predictive modeling. Focus on translating business requirements into production-ready data-driven solutions, presenting measurable insights to Fab leadership, and improving analytics practices.
Location: Singapore
Company
manufactures power-efficient, high-performance semiconductors for high-growth markets, including AI, with operations across the U.S., Europe, and Asia.
What you will do
- Define project objectives, deliverables, and implementation timelines with the Analytics Center of Excellence Manager.
- Design, develop, deploy, scale, and maintain analytics, machine learning, and AI solutions for manufacturing and business challenges.
- Collect, cleanse, validate, and preprocess large datasets from multiple sources.
- Perform exploratory data analysis and statistical analysis to identify patterns, trends, and actionable insights.
- Develop, evaluate, and implement predictive models and machine learning algorithms.
- Translate business requirements into production data solutions and present findings, recommendations, and project updates to cross-functional stakeholders and Fab leadership.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related discipline.
- Knowledge of data analytics, statistical analysis, and machine learning concepts.
- Familiarity with data visualization and reporting tools.
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively in a cross-functional and collaborative environment.
Nice to have
- Internship or project experience in analytics, AI, machine learning, or digital manufacturing.
- Familiarity with cloud-based analytics platforms and data engineering concepts.
- Experience working with large manufacturing or operational datasets.
Culture & Benefits
- Collaborative work with internal stakeholders, the Analytics Center of Excellence, and external technology partners.
- Inclusive and multicultural workplace focused on security, longevity, sustainability, and innovation.
- Employment is subject to applicable background checks, medical screenings, and local laws.
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