Deskripsi Pekerjaan
Are you ready to drive innovation at the intersection of memory technology and artificial intelligence? Micron Semiconductors is currently seeking a highly skilled Data Scientist, SMAI to join our expanding team in Singapore. We are a global leader in memory and storage solutions, and we are looking for an analytical mind to help us navigate the complexities of big data. In this pivotal role, you will be instrumental in applying machine learning algorithms to optimize our system modeling processes and drive strategic decision-making.
As a Data Scientist at Micron, you will work on diverse and challenging projects involving large-scale data analysis, predictive modeling, and advanced data visualization. You will have the opportunity to collaborate with world-class engineers and researchers to solve critical business problems. Our environment fosters continuous learning and professional growth, offering you the chance to work with the latest tools and technologies in the semiconductor industry. Specifically, you will focus on developing models that enhance our System Modeling & AI capabilities, ensuring our products remain at the forefront of efficiency and performance. If you are passionate about turning raw data into actionable insights and want to contribute to groundbreaking technology, we want to hear from you.
Tanggung Jawab
- Develop, train, and deploy advanced machine learning models to enhance system modeling and predictive analytics capabilities.
- Perform extensive exploratory data analysis (EDA) and statistical modeling on large-scale "big data" datasets to uncover hidden trends.
- Create intuitive data visualizations and interactive dashboards to communicate complex insights effectively to stakeholders.
- Collaborate with software engineers and domain experts to integrate robust data science solutions into production environments.
- Conduct rigorous A/B testing and hypothesis validation to drive product improvements and optimize business processes.
- Stay abreast of the latest research in AI and data science to recommend innovative methodologies for our semiconductor products.
- Document methodologies, algorithms, and data pipelines to ensure knowledge transfer across the team.
Kualifikasi
- Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong programming skills in Python, R, or Scala with extensive experience in data manipulation libraries (Pandas, NumPy).
- Deep understanding of machine learning algorithms and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in SQL and experience with big data processing tools such as Apache Spark or Hadoop.
- Excellent problem-solving abilities and the capacity to translate business requirements into technical models.
- Demonstrated experience in working within a cross-functional, agile engineering environment.