Micron Technologies - Senior Data Scientist - Statistical Modeling

<p>Responsibilities :<br/><br/>- Lead the end to end design, development, and deployment of machine learning models and analytical solutions for global manufacturing and engineering operations.<br/><br/>- Collaborate with Smart Manufacturing Strategy Leads to align data science efforts with business goals across Micron sites.<br/><br/>- Provide mentorship and coaching to data scientists and engineers to nurture their technical skills.<br/><br/>- Provide technical consulting and hands-on assistance to site teams to identify, evaluate, and implement optimal solutions.<br/><br/>- Conduct interviews and prototype development to validate use cases and demonstrate successful applications.<br/><br/>- Perform exploratory data analysis and feature engineering on structured and unstructured data.<br/><br/> Must-Have :<br/><br/> Technical Skills & Expertise :<br/><br/>- Fluency in Python for data analysis and modeling.<br/><br/>- Strong understanding of statistical modeling, supervised/unsupervised/semi-supervised learning.<br/><br/>- Experience with SQL and data extraction from relational databases.<br/><br/>- Proficiency in cloud-based analytics platforms and distributed computing (e.g , PySpark, Hadoop).<br/><br/>- Experience with TensorFlow, Keras, or similar frameworks.<br/><br/>- Strong software development skills with OOP principles.<br/><br/>- Experience with time-series data, image data, and anomaly detection.<br/><br/>- Familiarity with Manufacturing Execution Systems (MES).<br/><br/>- Familiarity with full-stack development and UI/UX building, including AngularJS experience.<br/><br/> Nice-to-Have :<br/><br/>- Experience with JavaScript, AngularJS 2.0 </p><p><br/></p><p>- Tableau for dashboarding and visualization.<br/><br/>- Exposure to SSIS, ETL tools, and API development.<br/><br/>- Knowledge of statistical software and scripting for automated analyses.<br/><br/>- Familiarity with publishing or reviewing papers in CVPR, NIPS, ICML, KDD.<br/><br/>- Cloud knowledge (GCP or similar) is an added advantage.<br/><br/> Leadership & Communication :</p><p><br/></p><p>- Proven ability to lead and manage data science projects and teams.<br/><br/>- Ability to work in a dynamic, fast-paced environment with minimal supervision.<br/><br/>- Proficiency in communicating effectively with globally distributed teams and interested parties.<br/><br/>- Strong interpersonal skills with the ability to influence and present to diverse audiences.<br/><br/> Education Requirements :<br/><br/>- Bachelor's or Master's degree in Computer Science, Electrical/Electronic Engineering, Data Science, or a related field, or equivalent experience.<br/></p> (ref:hirist.tech)