Data Scientist: Real-World Analytics and Machine Learning
San Jose, Costa Rica
hace 6 días

Join Intel and build a better tomorrow. Intel is in the midst of an exciting transformation, with a vision to create and extend computing technology to connect and enrich the lives of every person on Earth.

So join us and help us create the next generation of technologies that will shape the future for decades to come.

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.

In addition, CS approaches with the same rigor, accountability and visibility as our critical business strategies, embedding diversity and inclusion practices in everything we do! We are responsible for building an environment where all employees feel empowered to achieve their full potential.

We are a global workforce that generates diversity of thought and innovation, resulting in better overall business results.

Corporate Services values and embraces individual uniqueness and empowers employees to bring their whole selves to deliver their very best.

We thoughtfully embed inclusivity and diversity as core strengths in our hiring, career development and training practices.

Corporate Services’ success depends on our people and we highly value our amazing employees. Make Corporate Services your workplace of choice today!

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 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.
  • The successful candidate should exhibit the following behavioral traits :

  • A proactive, innovative, and pragmatic approach to problem-solving.
  • Skills to think critically and independently.
  • Work as part of a cross-functional team and communicate clearly to provide insights based on analysis outputs.
  • 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

    You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

    Position not eligible for Intel immigration sponsorship.

    Minimum Qualifications :

    Candidate must have one of the following :

  • PhD in Computer Science or related field
  • 1+ year of experience with : 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.

    Preferred Qualifications :

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