Amphoe Si Maha Phot, Prachin Buri, Thailand
Live, first seen by us 3 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design, prototype, and implement machine learning models for manufacturing problems
Analyze large-scale data to build ML/AI models that improve KPIs
Research and develop scalable computer vision and machine learning solutions
Create and maintain web applications that support data science initiatives
Present data visualizations and business conclusions to stakeholders
Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems
Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs
Researching and developing scalable computer vision and machine learning solutions for complex problems
Create and maintain web applications to support data science initiatives and facilitate data-driven decision making
Prepare and deliver presentations with data visualizations and business conclusions
Bachelor's degree in Computer Science, Data Science, AI, or equivalent experience
Programming skills in Python with data handling experience (pandas, APIs, scripting)
Foundational understanding of AI/ML, Computer Vision, and image processing techniques
REQUIRED: - Bachelor's degree in Computer Science, Data Science, AI, or equivalent experience - At least 2 year of experience in Data Science.
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Day 3
Early. Similar jobs usually come down between day 8 and day 60.
At Western Digital, jobs usually come down by about day 14.
From 11,801 similar postings that came down, and 60 of Western Digital’s. Coming down is not always a hire.
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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PREFERRED: - Prior project or internship experience in Python, Computer Vision, ML model development, or GenAI - Programming skills in Python with data handling experience (pandas, APIs, scripting)
- Prior project or internship experience in Python, Computer Vision, ML model development, or GenAI - Programming skills in Python with data handling experience (pandas, APIs, scripting) - Foundational understanding of AI/ML, Computer Vision, and image processing techniques
- Machine Learning – solid understanding of ML algorithms and model development - Python proficiency – demonstrated ability to write production-quality Python code Additional Information
- Knowledge of mathematical modeling, optimization, or simulation techniques for operational problem-solving - Familiarity with SQL, databases, and data visualization through coursework or projects - Exposure to cloud platforms, Docker, Git, or basic DevOps concepts
- Familiarity with SQL, databases, and data visualization through coursework or projects - Exposure to cloud platforms, Docker, Git, or basic DevOps concepts - Foundational understanding of web development
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Yes. We’ve followed one other Scientist 1, Data Science job there since April 2026. It came down after 61 days.
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Responsibilities related to data science and machine learning in a manufacturing context. Key tasks include collaborating with cross-functional teams to create impactful data solutions, analyzing large datasets to enhance business metrics, designing and implementing machine learning models, developing scalable computer vision solutions, and maintaining web applications for data initiatives. Additionally, it involves interpreting data insights, communicating findings to stakeholders, and delivering presentations with visualized data and business conclusions
ESSENTIAL DUTIES AND RESPONSIBILITIES:
REQUIRED:
PREFERRED:
SKILLS:
#LI-SW1
WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
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Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com.
WD is building the infrastructure behind the AI-driven data economy.
As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.
We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.
This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.
We’re looking for people who want to build, solve, and operate at that level.
Join us and let’s shape the future of data.
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Amphoe Si Maha Phot, Prachin Buri, Thailand
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