Micron Technology-posted about 23 hours ago
Full-time • Principal
Boise, ID
5,001-10,000 employees

Partner with product owners and business partners across finance, sales, business units, HR, and legal. Learn their needs and turn them into data science projects and solutions. Design, develop, and implement predictive models, machine learning models, statistical analysis, and data mining techniques to address business challenges. Analyze large and sophisticated datasets, identifying trends, patterns, and anomalies to extract valuable and actionable insights. Build and deploy data visualization dashboards and reports to effectively communicate insights to business collaborators across different levels. Research and explore new data science techniques, including generative AI and large language models, to enhance business processes and decision-making. Contribute to data governance and infrastructure: Help maintain and improve our data infrastructure, ensuring data quality and integrity.

  • Partner with product owners and business partners across finance, sales, business units, HR, and legal.
  • Learn their needs and turn them into data science projects and solutions.
  • Design, develop, and implement predictive models, machine learning models, statistical analysis, and data mining techniques to address business challenges.
  • Analyze large and sophisticated datasets, identifying trends, patterns, and anomalies to extract valuable and actionable insights.
  • Build and deploy data visualization dashboards and reports to effectively communicate insights to business collaborators across different levels.
  • Research and explore new data science techniques, including generative AI and large language models, to enhance business processes and decision-making.
  • Contribute to data governance and infrastructure: Help maintain and improve our data infrastructure, ensuring data quality and integrity.
  • Minimum of 5 years of experience as a Data Scientist or in a related role.
  • Master's degree in Statistics, Data Science, Computer Science, Engineering or a related field.
  • Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
  • Strong foundation in statistical modeling, machine learning algorithms, and data mining techniques.
  • Experience with machine learning algorithms and techniques, including supervised and unsupervised learning.
  • Proficiency in Python including relevant libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
  • Background in handling large datasets and cloud platforms (e.g., Google Cloud, AWS, Azure).
  • Strong understanding of data visualization tools and techniques.
  • Experienced in applying generative AI and large language models (LLMs) within business contexts.
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Experience working with SQL databases and data manipulation tools.
  • Proven experience combining data sets across business functions to achieve desired project objectives.
  • Excellent communication and presentation skills, with the ability to effectively convey complex data insights to non-technical audiences.
  • 8 years of experience as a Data Scientist or in a related role.
  • Prior experience working in a high tech manufacturing environment.
  • Desire to work in a multifaceted and fast paced environment.
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