Data Scientist I, Data Science at Western Digital

Biñan, Laguna, Philippines -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Collection, Machine Learning, AI Agents, Generative AI, Model Deployment, Data Visualization, Statistical Analysis, Natural Language Processing, Web Crawling, Robotic Process Automation, UI/UX Design, Python, R, SQL, Tableau, PowerBI

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®, WD_BLACK™, and SanDisk® Professional brands. 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 Summary of the Role: As a Data Scientist I, Data Science, you will be responsible for collecting and processing data from various sources, develop and deploy machine learning models and AI agents, and use generative AI to enhance data analysis. You’ll work closely with cross-functional teams to solve business problems and ensure clear communication with stakeholders. The role also involves thorough documentation to support reproducibility and system maintenance. Job Responsibilities and Role Accountabilities: Collect and extract large sets of structured and unstructured data from various sources such as databases, APIs, and web scraping. Develop predictive models using machine learning algorithms to forecast trends and future outcomes. Develop and integrate AI agents to automate data collection, preprocessing, and analysis tasks, enhancing efficiency and scalability. Utilize generative AI models to create synthetic data, augment data sets, and generate insights. Deploy models, systems, and AI agents developed; monitor and maintain them to ensure they are working effectively. Document processes and methodologies to ensure that work is reproducible and can be audited. Work with cross-functional teams such as product managers, software engineers, and business analysts to identify business problems and develop solutions. Explain complex technical concepts to non-technical stakeholders in a clear and concise manner. Qualifications Education and Work Experience: Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related field of study. Atleast 1 year of work experience in the AI/ML lifecycle, applying machine learning techniques to diverse data types; proficient in Python, R, SQL, data visualization tools, model deployment, and collaborative development; with additional skills in generative AI, RPA, and UI/UX design. Experience working with structured, semi-structured, and unstructured data sources. Skills and Competency Requirements: Knowledge of the AI/ML lifecycle management and tools, including EDA, Modeling, Integration/Deployment, Data/Model drift detection, Model retraining, etc. Knowledge in web crawling, natural language processing, and visualization. Familiarity with core techniques in statistical and machine learning, e.g., regularized regression, time series analysis, decision trees, boosting algorithms, neural networks, clustering, and collaborative filtering. Familiar with collaborative solutions, model & code versioning (Github), solution packaging (Docker), model deployment (Dataiku). Proficient in programming languages such as Python, R, and SQL (for data manipulation, cleaning, and analysis), Tableau, PowerBI or Spotfire, NumPy, Pandas, and Matplotlib for visualization. Experience in developing and deploying generative AI models and large language models (LLMs). Skills in Robotic Process Automation (RPA) and automation software development. Knowledge of UI and UX design principles to enhance user interaction and experience in data-driven applications. Ability to define problems, generate hypotheses, develop and test solutions, and effectively communicate complex technical concepts to non-technical stakeholders. Ability to collaborate effectively with others to achieve project goals. Other Requirements: Open to employment opportunities in Binan City, Laguna, CALABARZON, Philippines. Open to an on-site reporting work arrangement. Open to a dayshift work schedule. Important Reminders: We provide free medical examination. We do not collect any original requirements. We do not collect any fees at any stage of the hiring process. Additional Information Western Digital 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. Western Digital 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 Western Digital 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 Western Digital Ethics Helpline or email [email protected]. Western Digital 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. Western Digital 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 Western Digital 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 Western Digital Ethics Helpline or email [email protected].

Responsibilities

As a Data Scientist I, you will collect and process data from various sources, develop and deploy machine learning models, and enhance data analysis using generative AI. You will collaborate with cross-functional teams to solve business problems and ensure effective communication with stakeholders.