Corporate Services (CS) touches the lives of every Intel employee every day. CS creates an environment where employees can prosper while creating the innovative technologies that make amazing possible. Our scope is vast and includes operating and maintaining all Intel sites, offices, labs and factories globally as well onsite services and experiences that help employees stay safe and productive. CS also helps to make Intel and our community a greener place by supporting Intel commitment to environmental sustainability, including investing in conservation projects, setting company-wide environmental targets and driving reductions in greenhouse emissions, energy use, water use and waste generation.

CS Central Engineering (CSCE) owns the strategic and systematic development, standardization, implementation, and measurement of key central engineering functions to drive efficiency, reliability, and world class cost optimization to support our global facilities portfolio. The scope of the Central Engineering Organization within Corporate Serviced consists of asset management, cost engineering, enabling growth, and automation.

Central Engineering - Automation team is looking for an innovative, creative, and intellectually curious Data Scientist with experience in developing Machine Learning software to join our CS Central Engineering Automation team. This is an exciting opportunity to work in one of the world's leading semiconductor manufacturers working with real-world analytics to help our clients maximize equipment uptime, reduce risk and make more informed decisions. We are at a unique point in our company's journey. As we scale to more manufacturing sites worldwide, we must be efficient in the way we monitor and maintain our systems. Only by striving for excellence in our maintenance strategy and remaining at the technological edge can we ensure that we achieve our mission of creating world-changing technology that improves the life of every person on the planet.

As a CSCE-A Data Scientist your responsibilities will include but are not limited to:

• Work alongside our multi-disciplinary Automation team and apply data science techniques to predict anomalies and faults in complex, large-scale time-series data.

• Apply your data science skills and statistical knowledge to build an autonomous fault detection and root cause platform using Machine Learning methodologies.

• Support consulting activities to identify data availability, quality, and modelling requirements and participate in our customers' engagement.

What we offer:

• We give you opportunities to transform technology and create a better future, by delivering products that touch the lives of every person on earth. As a global leader in innovation and new technology, we foster a collaborative, supportive, and exciting environment-where the brightest minds in the world come together to achieve exceptional results.

• We offer a competitive salary and financial benefits such as bonuses, life and disability insurance, opportunities to buy Intel stock at a discounted rate, and Intel stock awards (eligibility at the discretion of Intel Corporation).

• We provide benefits that promote a healthy, enjoyable life: excellent medical plans, wellness programs and amenities, flexible work hours, time off, recreational activities, discounts on various products and services, and many more creative perks that make Intel a Great Place to Work.

• We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today.

Qualifications

Minimum Qualifications:

• Bachelors/Masters with 8 yrs experience in Computer Science or related field or a PhD in Computer Science or related field with 4 yrs experience in Statistical analysis, machine learning and deep learning methodologies.Large datasets and scaling ML models and information extraction. Computing fundamentals in algorithm design, data structures, complexity analysis, problem-solving and diagnosis.

• Good understanding of data science concepts, such as regression analysis, predictive modelling, and data visualization.

Preferred Qualifications:

• Understanding of what it takes to write clean code and experience with software development lifecycle.

• Knowledge of system identification of dynamic models and control systems.

• Experience with Vibration analysis, Fault Detection and Root Cause Diagnosis.

• Practical experience of predicting Remaining Useful Life.

• Extraction of conditional indicators using signal processing techniques and analyzing data from physical sensors.

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.

Intel does not discriminate based on race, characteristics that are commonly or historically associated with race including hair, 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.

Inside this Business Group

As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support.  Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.