Micron Technologies - Senior Data Scientist - Statistical Modeling

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.

Must-Have :

Technical Skills & Expertise :

- 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 (e.g , 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 2.0

- 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.