ESSENTIAL DUTIES AND RESPONSIBILITIES: Job is responsible for delivering the organization's outcome as stated:
- Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for OCCQ.
- Interacts with OCCQ and service teams to identify questions and issues in data analysis and experiments.
- Develops and codes software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large data sets from disparate sources. Identifies meaningful insights from large data and metadata sources.
- Interprets and communicates insights and findings from analysis and experiments to the OCCQ owner.
- Establishes database management systems, standards, guidelines, and quality assurance for database deliverables, such as conceptual design, logical database, data maintenance plan, and policy.
- Quality Data Analytics & Related Machine Learning Projects
- Improve overall Quality tasks/monitoring by applying Data Analytics & ML skills.
- Visualization automation development and maintenance for OCCQ
- Consolidate requirements
- Develop, automate, deploy, provide training, maintain, and support visualization systems for the OCCQ department
- Data ingestion is done into the database, AMAZON REDSHIFT/ TERADATA, etc.
- Integrates data from multiple sources to produce requested or required data elements. Programs and maintains report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resources.
- Customer Data Package (Factory Product Performance – FPP)
- Work within the department and with respective functional departments to compile factory product performance data packages for customers
- To ensure the deadline is met
- Making sure data packages are compiled with necessary information (data and charts) for functional team data input.
- Support CFEs and Factory team on data analysis requests on OCCQ Data
- Provide support to CFEs and factory quality data query and data analysis requests
- Support in the areas of running queries, analyzing data, and providing recommendations based on the data analysis objective
- System support and maintenance
- Identify data integrity issues
- Work with owners of source systems to fix the root cause of data integrity issues
- Maintaining OCCQ Data and System Team shared folder and website
- Maintain OCCQ server and shared folders
- Structure department server and shared folder for easy information access
- Structure department shared folders and maintain information security
- Supplier Quality Analysis and Reporting
- Generate regular and ad-hoc reports
- Support in the areas of running queries, analyze data, and provide recommendations base on the data analysis objective
REQUIRED:
- Bachelor's or Master’s Degree, in Computer Science/Data Science/Information Technology/Applied Mathematics, Statistics, or a related field.
- Minimum 15 years working experience, preferably with a statistical background and/or 10-12 years working experience in data science, data query/analysis, and Machine Learning Projects.
- Must possess strong hands-on expertise in developing database and message-oriented applications.
- The data storage industry is beneficial in terms of the business environment and challenges, products, competitors, and suppliers.
- Quality Management System
- Responsible for data import, export, and transformation applications and processes
- Creates clear documentation of operating procedures, database object layout, workflow diagrams and specifications for developed databases.
- Experience and expertise in any ML projects related and a data warehousing such as TERADATA, HAWQ, HIVE, IMPALA and HBASE or high-volume manufacturing environment or experience on BI tool (Spotfire or Tableau or equivalent), data ingestion tool (Alteryx or equivalent), analytics tools (JMP and Minitab or equivalent) MYSQL, MSSQL, Python, SQL.
- Experience using Large Language Models and identifying ways to incorporate them into new areas and applications.
- Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
PREFERRED:
- Data storage industry is beneficial – business environment and challenges, products, competitors and suppliers.
- Flexible and adaptable, Service-minded
- Proactive, accountable and passionate about driving results
- Ability to troubleshoot and analyze complex problems.
- Ability to multi-task and meet deadlines
SKILLS:
- Good interpersonal and communication skill.
- Familiar with MYSQL, MSSQL, or other relational database design
- Familiar with Python, SQL, ML, Data Analytics tools
- Experience on BI tool (Spotfire or Tableau or equivalent), data ingestion tool (Alteryx or equivalent), analytics tools (JMP and Minitab or equivalent) will be added advantage.
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.
