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Data Scientist – Memory and Storage Solutions

SpringCube

Full time - Senior Associate/ Asst Manager

Electronics & Semiconductor

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Data Scientist – Memory and Storage Solutions 

Company Overview
A global leader in memory and storage solutions, this organization focuses on transforming how the world uses information to enrich life for all. The company delivers innovative DRAM, NAND, and NOR memory products that drive advances in artificial intelligence, 5G applications, and cutting-edge computing. Committed to sustainability, operational excellence, and innovation, it empowers customers across diverse industries to unlock new opportunities in the data economy.

Job Description
As a Data Scientist, you will design and develop methods, processes, and systems to analyze diverse and unstructured data sources, generating actionable insights for client services and product enhancements.

Key Responsibilities

  • Data Analysis: Consolidate and analyze large datasets from various sources to uncover actionable insights.
  • Collaboration: Work with product and service teams to identify questions and design experiments for data analysis.
  • Software Development: Develop and code algorithms, automated processes, and software for data cleansing, integration, and evaluation.
  • Insight Generation: Interpret findings from analysis and experiments, communicating insights to product, service, and business teams.

Minimum Qualifications

  • Strong interest in a career as a Data Scientist in automated industrial manufacturing.
  • Experience with statistical modeling, feature extraction, supervised/unsupervised learning, and data analysis.
  • Exposure to the semiconductor industry is advantageous but not required.
  • Strong verbal and written communication skills.

Preferred Skills and Experience

  • Data Handling: Proficiency in SQL and other query languages, with experience in data cleansing and handling missing data.
  • Programming: Strong software development skills in Python and/or R.
  • Tools and Frameworks: Experience or interest in pySpark, SparkR, Hadoop, TensorFlow, Tableau, and statistical scripting for automation.
  • Advanced Analytics: Familiarity with machine learning, time-series data, image analysis, and semi-supervised learning.
  • Manufacturing Systems: Knowledge of Manufacturing Execution Systems (MES) is a plus.
  • Existing papers from key conferences (CVPR, NIPS, ICML, etc.) are appreciated but not required, as this is not a research position.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.