(NEW GRAD ONLY) Scientist, Data Science at Western Digital

Si Maha Phot, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

02 Jun, 26

Salary

0.0

Posted On

04 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Pandas, APIs, Scripting, AI, ML, DL, GenAI, SQL, Databases, Data Visualization, Mathematical Modeling, Optimization, Simulation, Cloud Platforms, Docker

Industry

Computer Hardware Manufacturing

Description

Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES: As a Data Scientist, you will drive digital transformation initiatives by applying advanced analytics, AI, and emerging technologies to real operational challenges. You will collaborate closely with cross-functional teams to design, develop, and deploy data-driven solutions that accelerate technology adoption and deliver measurable business impact. Partner with cross-functional teams to identify business problems and deliver data-driven solutions that improve performance and KPIs. Design, develop, and deploy production-ready AI solutions (ML, DL, GenAI) integrated into operational workflows for tangible business value. Develop automation tools and intelligent workflows to reduce manual effort and improve operational efficiency. Collaborate with data owners and engineering teams to ensure data quality, connectivity, and traceability across operational processes. Design and implement scalable data pipelines, analytics models, and interactive visualizations to enable real-time insights, operational monitoring, and data-driven decision-making. Continuously explore, evaluate, and monitor emerging technologies to identify innovation opportunities, develop proofs of concept, and scale successful solutions for business impact. This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum. Qualifications REQUIRED: Currently pursuing or recently completed Bachelor’s or degree in Computer Science, Data Science, AI, or equivalent experience Basic programming skills in Python and data handling (e.g., pandas, APIs, scripting). Foundational understanding of AI/ML or GenAI with interest in applying AI to factory systems, IoT data, or autonomous operations. Familiarity with SQL, databases, or data visualization through coursework or projects. Strong practical problem-solving skills, learning agility, and the ability to collaborate effectively in fast-paced, cross-functional teams. Working proficiency in English with confidence collaborating with international teams. PREFERRED: Knowledge of mathematical modeling, optimization, or simulation techniques for operational problem-solving. Exposure to cloud platforms, Docker, Git, or basic DevOps concepts. Exposure to developing analytics tools, automation scripts, or web applications through academic or personal projects. Prior project or internship experience in AI/ML or GenAI or equivalent technical projects Demonstrate a good level of English proficiency (written/verbal) Additional Information #LI-SB1 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]. Job Type (exemption status): Non-Exempt position - Please see related compensation & benefits details below Business Function: Data Science Work Location: Prachin Buri--LOC_HGST_2THBS

Responsibilities

The Data Scientist will drive digital transformation by applying advanced analytics, AI, and emerging technologies to operational challenges, collaborating with cross-functional teams to deploy data-driven solutions for measurable business impact. Key tasks include designing and deploying production-ready AI solutions, developing automation tools, ensuring data quality, and implementing scalable data pipelines for real-time insights.