Senior Data Scientist

2 weeks ago


Singapur, Singapore Micron Full time

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

JR47266 Senior Data Scientist

As a Senior Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Primary Responsibility, but not limited to

Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Deploys data science models and lead the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Requirements

Experience and deep understanding of advanced analytics and modern machine learning techniques. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Experience with data visualization tools (Tableau, PowerBIetc) and techniques, able to use visual tools to communicate data findings to non-technical audience. Strong software development skills. Fluency in Python. Strong verbal and written communication skills.

Good to have:

Exposure to the semiconductor industry. Experience working with cloud services GCP, AWS and/or Cloud certifications. Experience working with software engineering best practices (git, version control, agile, devops), especially MLOps. Experience in other languages (Rust, R, C++ etc). Experience in web development (Angular, React etc).

Education & Experience

Degree in Computer Science, Mathematics, Statistics, Data Science or related fields. At least 4 years relevant hands-on experience in analytics / data science.
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