Data Science Intern - Machine Learning for Spares Forecasting

Position Overview:

We are seeking a highly motivated and detail-oriented Data Science Intern to join our team in Shanghai. This position offers a unique opportunity to work closely with our finance and sales teams on a cutting-edge project aimed at revolutionizing our on-demand spares forecast process using machine learning. The successful candidate will have the chance to apply their skills in statistics, Python, and R to develop a prototype model that will enhance the accuracy and efficiency of our forecasting efforts.

Key Responsibilities:

- Analysis of Current Forecast Process: Conduct a thorough analysis of the existing on-demand spares forecast process, identifying areas for potential improvement.

- Research and Evaluation of ML Algorithms: Investigate and assess various machine learning algorithms to determine their suitability for on-demand spares forecasting.

- Model Development: Develop a prototype machine learning model that predicts spares demand based on historical data and other relevant factors for specific global accounts.

- Testing and Refinement: Test and refine the performance of the machine learning model, incorporating feedback from finance, sales, and other key stakeholders.

- Documentation and Presentation: Document the entire process and present your findings to the team and management, providing insights for further discussion and potential implementation.

Qualifications:

- Educational Background: Second-year graduate students are pursuing a degree in Data Science, Statistics, or a related field.

- Technical Skills: Proficiency in Python and R, with a strong understanding of statistical analysis and machine learning algorithms.

- Analytical Skills: Ability to analyze complex processes and identify opportunities for improvement.

- Communication: Strong written and verbal communication skills, capable of presenting complex technical information to non-technical stakeholders.

- Team Collaboration: Ability to work effectively with cross-functional teams, including finance and sales.

- Experience with data modeling and forecasting in a business context.

- Knowledge of the semiconductor industry or experience with spares forecasting is a plus.

What We Offer:

- Hands-on experience in applying machine learning to real-world business challenges.

- Opportunity to work with a diverse and dynamic team in a leading global company.

- Exposure to the latest trends in machine learning within the context of the semiconductor industry.

Internship Duration and Work Schedule:

- Weekly Commitment: Availability to onsite work at least 2-3 days per week

- Internship Duration: The internship is expected to last for six months.

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Additional Information

Shift:

Day (China)

Travel:

No

Relocation Eligible:

No

Referral Payment Plan:

None

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.