Sr Data Scientist

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Responsibilities :

Lead the end to end design, development, and deployment of machine learning models and analytical solutions for global manufacturing and engineering operations.

Collaborate with Smart Manufacturing Strategy Leads to align data science efforts with business goals across Micron sites.

Provide mentorship and coaching to data scientists and engineers to nurture their technical skills.

Provide technical consulting and hands-on assistance to site teams to identify, evaluate, and implement optimal solutions.

Conduct interviews and prototype development to validate use cases and demonstrate successful applications.

Perform exploratory data analysis and feature engineering on structured and unstructured data.

Technical Skills & Expertise

Must-Have :

Fluency in Python for data analysis and modeling.

Strong understanding of statistical modeling, supervised / unsupervised / semi-supervised learning.

Experience with SQL and data extraction from relational databases.

Proficiency in cloud-based analytics platforms and distributed computing (, PySpark, Hadoop).

Experience with TensorFlow, Keras, or similar frameworks.

Strong software development skills with OOP principles.

Experience with time-series data, image data, and anomaly detection.

Familiarity with Manufacturing Execution Systems (MES).

Familiarity with full-stack development and UI / UX building, including AngularJS experience.

Nice-to-Have :

Experience with JavaScript, AngularJS , Tableau for dashboarding and visualization.

Exposure to SSIS, ETL tools, and API development.

Knowledge of statistical software and scripting for automated analyses.

Familiarity with publishing or reviewing papers in CVPR, NIPS, ICML, KDD.

Cloud knowledge (GCP or similar) is an added advantage.

Leadership & Communication

Proven ability to lead and manage data science projects and teams.

Ability to work in a dynamic, fast-paced environment with minimal supervision.

Proficiency in communicating effectively with globally distributed teams and interested parties.

Strong interpersonal skills with the ability to influence and present to diverse audiences.

Education Requirements

Bachelor’s or Master’s degree in Computer Science, Electrical / Electronic Engineering, Data Science, or a related field, or equivalent experience.