Data Science, AI Compute Strategy, Canada

Autodesk
Toronto, Vancouver, Montreal, Calgary, Winnipeg, Prince Edward Island, Saskatchewan, Nova Scotia, New Brunswick, British Columbia, Alberta, Quebec, Manitoba, Ontario
Workplace: HybridFull time107,000 - 156,200 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Structured problem-solving","Communication","Stakeholder collaboration","Independent ownership","Navigating ambiguity"]

Own the analytical foundation for Autodesk’s Foundation Models AI investments. Build financial and operating models that quantify adoption, GPU consumption, inference costs, COGS, margin impacts, and ROI. Develop forecasts and decision-ready business cases to guide investment, monetization, pricing, packaging, and capacity planning. Translate telemetry and compute data into leadership insights and recurring dashboards that support strategy across Autodesk’s industry groups.

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Autodesk
Autodesk
1 day ago

Data Science, AI Compute Strategy, Canada

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Job Summary

Own the analytical foundation for Autodesk’s Foundation Models AI investments. Build financial and operating models that quantify adoption, GPU consumption, inference costs, COGS, margin impacts, and ROI. Develop forecasts and decision-ready business cases to guide investment, monetization, pricing, packaging, and capacity planning. Translate telemetry and compute data into leadership insights and recurring dashboards that support strategy across Autodesk’s industry groups.
Location: Toronto, Vancouver, Montreal, Calgary, Winnipeg, Prince Edward Island, Saskatchewan, Nova Scotia, New Brunswick, British Columbia, Alberta, Quebec, Manitoba, Ontario
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build analytical and financial models quantifying business impact of AI capabilities across Autodesk’s platform and industry groups.
  • •Develop forecasts for AI adoption, usage, revenue influence, GPU consumption, inference costs, margin implications, and long-term planning.
  • •Construct business cases and decision-ready analysis for investment, prioritization, monetization, pricing, packaging, and leadership reviews.
  • •Model and optimize GPU economics, cloud compute costs, and inference economics, including utilization, capacity, scaling behavior, cost efficiency, COGS, and margin implications.
  • •Create dashboards/reporting frameworks and translate telemetry and infrastructure usage data into monetization, pricing, packaging, and cost-management insights.

Pay and Benefits

Salary: 107,000 - 156,200 annually

Key Requirements

  • •Bachelor’s degree in a relevant field (Engineering, Data Science, Statistics, Computer Science, Economics) or equivalent experience.
  • •5+ years of experience in business strategy, analytics, strategic finance, business operations, product strategy, product analytics, management consulting, or a similarly analytical role.
  • •Experience building financial, operating, or business models across adoption, usage, revenue, GPU or compute costs, COGS, margin, and ROI.
  • •Strong financial modeling and analytical skills; Excel required, with SQL or Python familiarity preferred.
  • •Experience with GPU economics and cloud/inference cost structures, plus the ability to analyze utilization, scaling behavior, cost efficiency, and cost-to-serve dynamics.
Experience:5+ yearsAICloudAnalyticsGPU economicsSaaS economics
Education:Bachelor's
Skills:Structured problem-solvingCommunicationStakeholder collaborationIndependent ownershipNavigating ambiguity
Tech Stack:ExcelSQLPythonPowerPoint

Company Brief

Autodesk
Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Rafael, United States
Founded: 1982
Glassdoor
Glassdoor: 3.9
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