Company DescriptionAt 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 have 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 DescriptionSummary 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 will 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.
