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Micron Technologies - Senior Data Scientist - Statistical Modeling

Micron Technologies - Senior Data Scientist - Statistical Modeling

Micron TechnologiesGujarat
30+ days ago
Job description

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.
  • (ref : hirist.tech)

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