Module Data Science Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

FSM's Equipment Productivity Group is hiring a Senior Data Science Engineer to focus on Module Data Solutions. With Intel's ambitious IDM2.0 manufacturing goals, the focus on equipment performance, machine productivity, and labor efficiency has never been more critical to the future success of the company.

The Data Science Engineer will focus on the following objectives to drive module performance to new heights helping achieve best in world fab productivity in our current FSM and future foundry factories:

• Use predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structure and unstructured data.
• Identify 'grass roots' module productivity solutions and expand across Intel's fab network
• Develop software, algorithms and applications to expand fab support systems (APC, machine learning, predictive and prescriptive analytics)
• Centralize and standardize module engineering data support systems to support new fabs
• Partner with Internal stakeholders to drive Intel's 2yr, 5yr, and 10yr vision for module sustaining
• Drive strategies to insert leading-edge data systems/solutions on older technologies
• Partner with suppliers to develop and implement advanced data solutions that will help Intel

Qualifications

Minimum Qualifications:

• Bachelor's degree in a technical discipline such as Computer Science, Electrical Engineering, Chemical Engineering, Material Science, Industrial Engineering, Physics, or Chemistry
• 5+ years in 300mm fab process or equipment engineering experience
• 2+ years in data analytics and relational databases (Python, SQL, dashboards, APC, machine learning, etc)

Preferred Qualifications:

• MS or PhD in a technical discipline such as Computer Science, Electrical Engineering, Chemical Engineering, Material Science, Industrial Engineering, Physics, or Chemistry
• 7+ years process and equipment development, or sustaining factory experience
• 3+ years in data analytics and relational databases (Python, SQL, dashboards, APC, machine learning, etc)

The ideal candidate should exhibit the following behavioral traits:

• Passionate about improving Intel's module and fab productivity
• Strong advocate for inclusion, teamwork, and driving collaboration across business units
• Proven strong engineering capabilities
• Experience operating in complex and ambiguous environments
• Ability to drive results through a global team
• Ability to communicate and present data clearly and effectively
• Lifelong learner and someone who challenges status quo
• Enjoys and excels in a creative and entrepreneurial environment
• Willingness to remove barriers

At Intel inclusion means we recognize and respect the worth and dignity of every employee. We promote and sustain a sense of belonging, valuing diverse talents, beliefs, backgrounds, and experiences to help Intel win. Our success depends on Intel’s amazing employees. Make Intel your workplace of choice today. Intel provides equal employment opportunity for all applicants and employees in all areas of employment.