Data Scientist

Job Title

Staff Data Scientist – Finance Systems Transformation

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.

• 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, analytical models that integrate with enterprise finance systems and data platforms.
• Develop, test, and deploy intelligent agents in a Snowflake environment, including
  • Agent-based workflows for finance analytics use cases
  • Prompt design, evaluation frameworks, and performance testing
  • Monitoring and continuous improvement of agent outputs
• Partner closely with Finance business stakeholders, Data Engineering, and UX teams to
  • Translate business problems into data science solutions
  • Define success metrics and validate model performance
  • Drive adoption of analytics and AI capabilities
• Build and optimize data pipelines and modeling workflows to clean, combine, and analyze vast data compilations from multiple sources.
• Lead exploratory analysis and prototype development to identify new opportunities for automation, insight generation, and decision support.
• Provide technical leadership and mentorship to junior data scientists, setting best practices for modeling, experimentation, and product ionization.

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, or a related quantitative field, plus 5+ years of experience in data science, machine learning, or advanced analytics roles.
• Strong proficiency in Python and SQL, with 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, Num Py, and scikit‑learn, with hands‑on experience in Snowflake, Streamlit, and modern AI/ML development environments.
• Experience working with Finance-related data, workflows, and business needs, including corporate finance, P&L, and manufacturing cost data, as well as forecasting, variance analysis, scenario planning, actuals‑to‑forecast reconciliation, or financial waterfall reporting.
• Experience partnering with Finance stakeholders and cross‑functional teams to deliver scalable, user‑adopted solutions, and providing technical leadership or mentorship to data scientists and analysts.

• 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, workflows, and business needs, including corporate finance, P&L, manufacturing cost data, forecasting, scenario modeling, driver analysis, or decision support.
• Hands‑on experience developing, deploying, and monitoring conversational AI agents or LLM-based solutions in Snowflake, cloud, or similar enterprise data environments, including prompt/instruction design, evaluation, and performance optimization.
• Experience translating finance business logic into production‑grade analytical applications, model features, prompts, rules, or agent workflows that support scalable decision‑making.
• Experience with data visualization and basic UI development, including creating intuitive dashboards, analytical interfaces, or lightweight front‑end experiences that improve how Finance users interact with models, insights, and AI‑enabled solutions.

$ – $ per year (US base salary range). Eligible for additional compensation including benefits, bonuses, and equity.

Micron benefits include medical, dental, and vision plans; income protection; paid family leave; paid time‑off; paid holidays; and a robust benefits guide available on Micron’s Benefits Guide page.

Micron is a proud equal opportunity workplace and an affirmative action employer. All qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.