Data Scientist

Chandler AZ•Phoenix, AZ

8d•Onsite

About The Position

Join UCT and be part of the fastest-growing sector in the world ! We indirectly touch every semiconductor chip that goes into every smartphone, smart car and device that uses artificial intelligence.â¯This is a critical time for the semiconductor industry and for UCT - as technology evolves, we evolve with it. UCT is a diverse workplace where every talented employee is committed to continuous innovation, challenging the status quo and exceeding customer expectations. If you are a person with a relentless drive to succeed, a strong focus on quality with a passion for success – join us today! UCT is looking for a talented Analyst IV, IT D&A to join us in Chandler, AZ! Job Summary: ONSITE The Data Scientist will serve as a key contributor to the company’s data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced analytics, generative AI, and machine learning solutions. This role focuses on applying statistical modeling, classifier models, and predictive analytics to improve supply chain efficiency, back office, and operational performance. The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio to enable AI-assisted insights and intelligent automation for manufacturing and operations users.

Requirements

Education – Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.
3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment.
Strong proficiency in Python, Scikit-Learn, Optuna
Hands-on experience with Databricks, ML/OPS in Databricks, Unity Catalog
Experience developing classifier models (Random Forest, KNN, Decision Trees)
Strong SQL skills.
Experience with Microsoft Copilot Studio development & agent governance
Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Strong problem-solving abilities, with a focus on delivering practical, scalable solutions.
Ability to manage multiple projects and priorities, working effectively in a fast-paced, dynamic environment.

Nice To Haves

Master’s degree is a plus.
Semiconductor equipment manufacturing experience is a definitive advantage.
Familiarity with Power BI is a plus.

Responsibilities

Develop, validate, and deploy machine learning and statistical models to support manufacturing and supply chain use cases such as supplier lead time prediction, inventory segmentation and safety stock optimization, demand forecasting, and predictive cash flow modeling.
Design and implement classifier models to identify & predict patterns in product, customer, and supplier taxonomies.
ML/Ops: support the full lifecycle of AI Model development & support.
Evaluate and monitor model performance, accuracy, and scalability in production environments.
Utilize AI to augment IT operations; advocate for augmentation of IT processes using AI including Generative AI for software development (Github Copilot or similar), as well as Agent development in Copilot studio for knowledge management and automation of IT operational workflows.