Data Scientist - Pricing & Profitability

AMD
San Jose
Workplace: HybridFull timeUSD 86,240 - 147,840 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Storytelling","Business acumen","Results-oriented bias","Collaboration","Problem-solving"]

Build AI/LLM-driven pricing tools that automate pricing analysis and business workflows, from agentic workflow prototypes to production model deployment. Develop predictive ML models for pricing and margin forecasting, engineer Snowflake-based data pipelines, and create reporting/decision-support automation for recurring executive outputs. Own monitoring, recalibration, and a pricing analytics platform that consolidates quote, cost, and point-of-sale data, partnering with Pricing, BizOps, and Sales to ensure real business impact.

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FursaFursa
AMD
AMD
6 days ago

Data Scientist - Pricing & Profitability

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Last checked: 2 hours agoStatus: Live

Job Summary

Build AI/LLM-driven pricing tools that automate pricing analysis and business workflows, from agentic workflow prototypes to production model deployment. Develop predictive ML models for pricing and margin forecasting, engineer Snowflake-based data pipelines, and create reporting/decision-support automation for recurring executive outputs. Own monitoring, recalibration, and a pricing analytics platform that consolidates quote, cost, and point-of-sale data, partnering with Pricing, BizOps, and Sales to ensure real business impact.
Location: San Jose
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and own AI-driven pricing tools by designing, developing, and improving internal AI/LLM tooling that automates pricing analysis and workflows.
  • •Prototype and evaluate new AI use cases (agentic workflows, RAG, reusable AI skills) to automate manual pricing processes and improve productivity.
  • •Develop, test, and refine ML models for pricing and margin forecasting using statistical and ML techniques on large datasets.
  • •Engineer reliable data pipelines by querying and modeling structured data in Snowflake and writing clean, reproducible code.
  • •Operationalize and monitor deployed models/tools in production, including ongoing monitoring, recalibration, and performance tracking.

Pay and Benefits

Salary: USD 86,240 - 147,840 annually

Key Requirements

  • •Hands-on data science/analytics experience, ideally in pricing, finance, sales operations, or commercial analytics.
  • •Hands-on experience with LLMs/generative AI (LLM APIs, prompt engineering, RAG, or agent frameworks) applied to real business problems.
  • •Strong production Python experience for data work and automation (e.g., pandas, APIs) with maintainable code.
  • •Proficiency in SQL and experience with cloud data platforms, including Snowflake.
  • •Experience applying machine learning to forecasting/predictive analytics for business or financial problems.
Education:Master's in Data Science, Computer Science, Statistics, Business Analytics, Engineering, Finance, or a related quantitative field
Skills:StorytellingBusiness acumenResults-oriented biasCollaborationProblem-solving
Languages:En-us
Tech Stack:PythonPandasSQLSnowflakeLLM APIsPrompt engineeringRetrieval-augmented generation (RAG)Agent frameworksMachine learningData pipelinesAutomationCPQQuote-to-cashDeal Desk

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
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: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
WebsiteLinkedIn