Scientist 1, Data Science
Western Digital · On-site · Full-time · Amphoe Si Maha Phot, Prachin Buri, Thailand
Posted (1d ago)
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- Employer posted
- First seen here
- Repost check
- Same job ID since we first saw it on Nov 4, 2026. If Western Digital reposts it, we keep the original posting date.
- Level
- Mid-level
- Work setup
- On-site
- Tech mentioned
- Python, SQL, Docker
- Western Digital hiring
- 22 roles posted in the last 30 days
Job description
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.
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:
Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics
Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs
Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems
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
Interpret actionable insights from data and metadata sources, communicating findings to stakeholders for product improvement
Prepare and deliver presentations with data visualizations and business conclusions
REQUIRED:
Bachelor's degree in Computer Science, Data Science, AI, or equivalent experience
At least 1 year of experience in Data Science.
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)
Foundational understanding of AI/ML, Computer Vision, and image processing techniques
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
Foundational understanding of web development
Strong problem-solving skills, learning agility, and ability to collaborate effectively in cross-functional teams
Working proficiency in English with confidence collaborating with international teams
SKILLS:
Computer Vision expertise – hands-on experience with CV libraries and models (OpenCV, YOLO, etc.)
Machine Learning – solid understanding of ML algorithms and model development
Python proficiency – demonstrated ability to write production-quality Python code
#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.
WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at
[email protected]
to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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
[email protected]
.
Apply on Western Digital’s site
Western Digital job ID: REF33460E
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