Intern - Data Science & Engineering, SMAI

Found in: Talent SG C2 - 3 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.

JR51757 Intern - Data Science & Engineering, SMAI

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 stakeholder 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

Exposure, experience and understanding of advanced analytics and modern machine learning techniques. Exposure, experience and understanding with text, image and video analysis techniques and frameworks, such as natural language processing(NLP), computer vision, object detection, image classification etc. Ability to extract data from different databases via Snowflake, SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Exposure and experience with data visualization tools (Tableau, PowerBI etc) and techniques, able to use visual tools to communicate data findings to non-technical audience. Exposure or experience with software development skills and ability to build custom web applications using Streamlit, Flask etc. Knowledge in Python. Strong verbal and written communication skills.
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