Job Details:

Job Description: 

Develops algorithms and applications, performs large scale experimentation, builds data driven apps to translate data into intelligence, and develops solutions for solving business problems using coding. Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data. Organizes, interprets and structures insights from data, detects data anomalies and makes corrections. Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decisionmaking. Supports troubleshooting service offerings using proprietary analytical platforms, commercial tools and custom scripts. Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required. Develops and programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science including modeling, coding, analytics, and experimentation. Explores, compiles, and collects data from new or known sources, sometimes in partnership with technical staff/engineers to derive useful insights and/or make predictions. Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution across clients.

This Data Scientist role is an exciting opportunity to apply your knowledge to translating Fab data into meaningful insights to help solve factory yield/process engineering problems. In this position, you are expected to deliver data analysis tools/methodologies for engineers in different areas:
- help them to do quick and efficient signal detection for yield or process issues;
- improve yield and quality and reduce cost to meet Quality/Output/Cost goals.

The successful candidate will work closely with diverse yield/process engineers to understand their business needs, analysis methodologies and come up with solutions to assist in data-driven decisions in their daily work.

This position is associated with the sale of Intel's NAND memory and storage business to SK. This transaction will enhance the resources and potential of the business' storage, and you will be joining a world-class team that will transition to lead the SSD business at SK group. We will keep you informed updates and steps related to this transaction.

Qualifications:

- Require at least 3-4 year experience in any of the following fields: data application development, data analytics (familiar with various ML algorithms), computer vision, deep learning, LLM. Solid track of record of deliverables in above listed fields. - Must have at least one data programming language/scripting experience (e.g. Python, JMP, R etc.) - Must be a team worker with excellent communication, presentation, and time management skills. - Excellent technical problem solving and analysis skills, ability to quickly digest complex problems - Candidates need to be highly self-motivated and passionate about data science job - Experience with SQL is a plus - Experience in semiconductor industry is a plus - Candidates need to hold at least a Master degree in Statistics, Machine learning, Computer Science or relevant disciplines. Ph.D is preferred

          

Job Type:

Experienced Hire

Shift:

Shift 1 (China)

Primary Location: 

PRC, Dalian

Additional Locations:

Business group:

Employees in Intel's NAND Product Group deliver solutions that are transforming computing across all segments from data centers to Ultrabooks. They invent, develop, bring to market and support customers with leading-edge NAND flash memory and system level solutions such as solid state drives (SSDs). SSDs are accelerating performance for gaming enthusiasts, reducing total cost of ownership for IT managers of data centers and improving security and reliability for businesses. This dynamic group is strategically positioned to become the leading Non-Volatile Memory solution supplier for the compute segment and is a key to expanding markets and continuing the growth for Intel.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.