Western Digital is hiring a
Data Scientist

Summary

Join Western Digital in powering global innovation and pushing the boundaries of technology to make what you thought was once impossible, possible. As a Data Scientist, you will collect, organize, and clean large datasets from various sources, conduct in-depth analysis, build machine learning models, and communicate findings through clear data visualizations.

Requirements

• Bachelor's Degree in Data Science, IT, Computer Science, Statistics, Engineering,. or equivalent fields
• 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

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