Scientist 1, Data Science at Western Digital

Si Maha Phot, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Collection, Data Cleaning, Data Analysis, Feature Engineering, Machine Learning, Regression, Classification, Clustering, Data Visualization, Tableau, Power Bi, Matplotlib, Seaborn, Python, Java, Node.js

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 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. ESSENTIAL DUTIES AND RESPONSIBILITIES: Collect, organize, and clean large datasets from various sources, ensuring data quality and accuracy. Conduct in-depth analysis to understand data patterns, identify trends, and uncover valuable insights. Create new features or transform existing ones to improve model performance and predictive accuracy. Build, train, and evaluate machine learning models (e.g., regression, classification, clustering) to address specific business problems. Communicate findings through clear and effective data visualizations, using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Creating the server-side logic using programming languages like Python, Java, or Node.js. This focuses on data processing, business rules, and interaction with databases. Designing and building APIs (Application Programming Interfaces) that facilitate communication between the front-end and back-end components, and potentially external systems. Implementing unit tests, integration tests, and user acceptance testing (UAT) to identify and fix bugs throughout the development process. Deploying the application to a production environment and maintaining its functionality by fixing bugs, adding new features, and ensuring security updates Collaborate with cross-functional teams such as data engineers, business analysts, and decision-makers to understand requirements and deliver insights. Perform other duties as assigned. Qualifications REQUIRED: Currently pursuing or recently completed Bachelor's degree in Data Science, IT, Computer Science, Statistics, Engineering or equivalent experience Proficiency in programming languages commonly used in data science such as Python. Additionally, proficient in using data science tools and frameworks. Data analysts need strong analytical skills to interpret complex data sets, extract meaningful insights, and machine learning implementation. This includes the ability to identify trends, patterns, and correlations within the data. Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and big data platforms, esp. MySQL, PostgreSQL, and MSSQL. Can written and verbal communication in English. Strong project management and organizational skills. Able to work and communicate well with cross-functional teams in a dynamic environment Additional Information #LI-BI1 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 role involves collecting, organizing, and cleaning large datasets, conducting in-depth analysis to uncover insights, and building, training, and evaluating machine learning models to solve business problems. Responsibilities also include creating server-side logic, designing APIs, implementing testing, and deploying applications to production.