Micron Technology
Semiconductor
StaffDataScientist
Neural analysis suggests this role is
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“Staff Data Scientist at Micron Technology. Skills: AI conversational agents, Predictive modeling, Data engineering, Finance analytics. Build and develop customized AI conversational agents. Develop advanced analytical models and predictive solutions”
What You'll Achieve.
Improve prediction accuracy; Improve deviation assessment; Improve scenario planning; Deliver high-impact, production-grade solutions; Transform Finance operations; Support business planning; Deliver scalable, user-adopted solutions; Support scalable decision-making
Industry & Context.
Translate business problems into data science solutions
What They're Looking For.
Must Have
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, or a related quantitative field, 5+ years of experience in data science, machine learning, or advanced analytics roles, Proficiency in Python and SQL, Hands-on experience developing, testing, and deploying predictive or statistical models on large, complex datasets, Working knowledge of core data science and AI/ML tools, including Python libraries such as pandas, NumPy, and scikit-learn, Hands-on experience in Snowflake, Streamlit, Experience working with Finance-related data, workflows, and business needs, Experience partnering with Finance stakeholders and cross-functional teams to deliver scalable, user-adopted solutions, Providing technical leadership or mentorship to data scientists and analysts
Nice to Have
Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Finance, Economics, or a related quantitative discipline, Experience applying advanced machine learning, time series modeling, optimization, or AI techniques to Finance-related data, Hands-on experience developing, deploying, and monitoring conversational AI agents or LLM-based solutions in Snowflake, cloud, or similar enterprise data environments, Experience translating finance business logic into production-grade analytical applications, model features, prompts, rules, or agent workflows, Experience with data visualization and basic UI development
What You'll Do.
Build and develop customized AI conversational agents
Develop advanced analytical models and predictive solutions
Apply knowledge in mathematics
Build scalable solutions on Snowflake-based finance data
Improve prediction accuracy
and scenario planning
production-grade solutions
Transform Finance operations
Develop instructed dialogue systems
Develop predictive modeling solutions
Develop intelligent automation solutions
Develop new agent-based architectures
Collaborate with Data Scientists
Find questions and problems
Create solutions for budgeting
Create solutions for income statement data domains
Create solutions for manufacturing expense data domains
Write software programs
Write agent instructions
Cleanse large datasets
Combine large datasets
Analyze large datasets
Assess large datasets
Develop new solutions
Turn finance business logic into code
Turn finance business logic into smart agent actions
Lead the development of predictive models for finance
Forecast cost drivers
Perform variance analysis
Analyze actuals vs. plan
Analyze drivers of deviation
Perform scenario modeling
Perform sensitivity analysis to support business planning
production-grade analytical models
production-grade analytical models
Integrate models with enterprise finance systems
Integrate models with enterprise data platforms
Develop intelligent agents in a Snowflake environment
Test intelligent agents in a Snowflake environment
Deploy intelligent agents in a Snowflake environment
Develop agent-based workflows for finance analytics use cases
Develop evaluation frameworks
Perform performance testing for agents
Monitor agent outputs
Continuously improve agent outputs
Translate business problems into data science solutions
Define success metrics
Validate model performance
Drive adoption of analytics capabilities
Drive adoption of AI capabilities
Optimize data pipelines
Build modeling workflows
Optimize modeling workflows
detailed data compilations
detailed data compilations
detailed data compilations
Lead exploratory analysis
Prototype development
Identify new opportunities for automation
Identify new opportunities for insight generation
Identify new opportunities for decision support
Provide technical leadership to junior data scientists
Provide mentorship to junior data scientists
Set best practices for modeling
Set best practices for experimentation
Set best practices for product ionization
How You'll Work.
Team & Collaboration
Collaborate with Data Scientists; Collaborate with Data Engineers; Collaborate with Finance Business Users; Collaborate with UX teams; Partner closely with Finance business stakeholders; Partner with Data Engineering; Partner with UX teams; Partner with cross-functional teams
Full Job Description
**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Staff Data Scientist in Finance Systems Transformation at Micron, you will help build and develop customized AI conversational agents. You will also develop advanced analytical models and predictive solutions that support decision-making across Finance. You will apply your knowledge in mathematics, statistics, machine learning, and data engineering to build scalable solutions on Snowflake-based finance data. These solutions improve prediction accuracy, deviation assessment, and scenario planning. This role is passionate about delivering high-impact, production-grade solutions that transform Finance operations. It emphasizes instructed dialogue systems, predictive modeling, intelligent automation, and new agent-based architectures. You will collaborate with Data Scientists, Data Engineers, Finance Business Users, and UX teams to find questions and problems. You will create solutions for budgeting, income statement, manufacturing expense data domains, and more. In this role, you will write software programs, algorithms, models, and agent instructions. Your work will cleanse, combine, analyze, and assess large datasets from various sources. There are many chances to explore data and develop new solutions that turn finance business logic into code and smart agent actions. **Responsibilities include, but not limited to:** * Lead the development of predictive models for finance use cases, including: * Forecasting (revenue, expenses, cost drivers) * Variance analysis (actuals vs. plan, drivers of deviation) * Scenario modeling and sensitivity analysis to support business planning * Build and implement scalable, production-grade analytical models that integrate with
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