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Company Overview
A global leader in innovative memory and storage solutions, this company is at the forefront of transforming how the world uses information. With a rich history of industry-firsts and a commitment to pushing technological boundaries, they empower advancements in artificial intelligence, 5G, cloud computing, and beyond. Their dedication to excellence and collaboration fosters a dynamic and forward-thinking work environment.
DATA SCIENCE ENGINEER – SMART MFG & AI
Responsibilities include, but not limited to:
Extract data from various databases using SQL and other query languages, applying data cleansing, outlier identification, and missing data techniques to ensure data quality.
Perform statistical modeling, feature extraction, and analysis using supervised, unsupervised, and semi-supervised learning methods on large datasets.
Develop and code software programs, algorithms, and web UI applications for internal business needs
Communicate insights and findings efficiently to product, service, and business managers through strong verbal and written communication skills.
Develop methods to analyze data from diverse sources to build insights for client services.
Be compatible with product and service teams to identify questions and issues for data analysis and experiments.
Requirement
At least Bachelor’s degree in computer science, data science, statistics, mathematics, or engineering.
Minimum 2 years of working experience as a Data Scientist.
Experience in the areas: statistical modeling, featuring extraction and analysis, supervised/unsupervised/semi-supervised learning.
Exposure to the semiconductor industry is preferred.
Strong desire to embark your career in highly automated industrial manufacturing, doing analysis and machine learning on terabytes and petabytes of diverse datasets.
Experience with machine learning and other advanced analytical methods,: Python and/or R, PySpark and/or SparkR and/or SparklyR, Hadoop (Hive, Spark, HBase),Teradata and/or another SQL databases, Tensorflow, and/or other statistical software including scripting capability for automating analyses, SSIS, ETL, Javascript, AngularJS 2.0, Tableau
Strong communication skills (written, verbal and presentation).
Strong software development skills
Experience with time-series data, images, semi-supervised learning, GenAI and high volume data processing is a plus.
Experience working with Manufacturing Execution Systems (MES) is preferred.
Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position.
Disclaimer
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No Client Relationship: This company is not a client of SpringCube unless stated.
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