Staff Data Scientist, AI for Business Functions

Micron Technology
Boise
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Analytical","Communication","Presentation","Data visualization","Data quality management"]

Partner with product owners and business groups to turn business needs into scalable DS/ML/AI and GenAI solutions. Build predictive, forecasting, optimization, and simulation models to improve operational and financial outcomes. Analyze large datasets to surface actionable insights, and communicate results via dashboards and reports. Explore new data science techniques, including LLMs, while supporting data governance, quality, and infrastructure.

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Micron Technology
Micron Technology
1 day ago

Staff Data Scientist, AI for Business Functions

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Partner with product owners and business groups to turn business needs into scalable DS/ML/AI and GenAI solutions. Build predictive, forecasting, optimization, and simulation models to improve operational and financial outcomes. Analyze large datasets to surface actionable insights, and communicate results via dashboards and reports. Explore new data science techniques, including LLMs, while supporting data governance, quality, and infrastructure.
Location: Boise
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with product owners and business groups to understand needs and turn business problems into scalable data-driven DS/ML/AI/GenAI solutions.
  • •Implement DS/ML/AI/GenAI solutions in Python and cloud environments.
  • •Design, develop, and deploy predictive and forecasting models, along with statistical analysis and data mining techniques.
  • •Design and deploy optimization and simulation models (e.g., mathematical programming, stochastic simulation, scenario analysis, what-if modeling) to evaluate trade-offs and improve outcomes.
  • •Analyze large datasets to identify trends, patterns, and anomalies; build and deploy data visualization dashboards and reports; research and apply new data science techniques; support data governance and infrastructure.

Pay and Benefits

Perks:MedicalDentalVisionPaid LeavePaid HolidaysPaid Time-off

Key Requirements

  • •5+ years of experience as a Data Scientist using advanced analytics, machine learning, and statistical modeling to solve complex business problems.
  • •Strong foundation in supervised and unsupervised machine learning, data mining, and predictive analytics with the ability to drive data-informed decisions.
  • •Advanced Python skills with hands-on experience using Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
  • •Experience with large-scale datasets and cloud-based data platforms, including Snowflake, Google Cloud, AWS, and Azure, plus data extraction/transformation using SQL.
  • •Excellent analytical, communication, and presentation skills, including data visualization and data quality management for technical and non-technical partners.
Experience:5+ yearsSemiconductorData scienceMachine learningCloudGenerative AI
Education:Master's in Statistics, Data Science, Computer Science, Engineering, or a related field
Skills:AnalyticalCommunicationPresentationData visualizationData quality management
Tech Stack:PythonPandasNumPyScikit-learnTensorFlowPyTorchSnowflakeGoogle CloudAWSAzureSQLGenAILarge language models (LLMs)Machine learningStatistical analysisData miningData visualizationDashboardsForecastingOptimization

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Boise, United States
Founded: 1978
Glassdoor
Glassdoor: 3.7
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