Senior Data Scientist, Full Stack

Job Type: Full-Time l Location: San Francisco, CA l Department: AI Infrastructure Supply Chain l Reporting to: Director, Supply Chain Analytics | Work Location Type: #hybrid IREN is a leading AI Cloud Service Provider, delivering large-scale GPU clusters for AI training and inference. IREN’s vertically integrated platform is underpinned by its expansive portfolio of grid-connected land and data centers in renewable-rich regions across the U.S. and Canada. The Senior Data Scientist, Full Stack enables the modernization of IREN’s global Supply Chain systems and tools portfolio. Reporting to the Director, Supply Chain Analytics & Engineering, this individual will shape the data architecture, tooling standards and ways of working rather than inherit them. The work spans GPU and compute hardware, networking, power and electrical equipment, construction materials and services – categories with long lead times, constrained supply and high capital intensity, where data quality directly affects delivery dates and cost. With 100% renewable energy, we build, own and operate our data centers and take pride in being at the forefront of sustainable solutions for the ever-evolving applications of high performance compute. We believe that human progress is invaluable, but it should be done in the right way - responsibly, sustainably and having a positive impact on the communities we operate in. Bachelor's degree in computer science, engineering, information systems, supply chain or a related field, or equivalent practical experience. 8+ years in data engineering, with at least 2 years building pipelines and data models for supply chain, procurement, operations or finance data. Excel at data driven storytelling to cater to a broad stakeholder team and audience. Strong understanding of supply chain processes, tools, stakeholder interactions, and processes and experience working with ERP/MRP, CLM, PLM, QMS tools Expert SQL and strong Python; comfortable with dbt or an equivalent transformation framework. Hands-on experience with a modern cloud data platform (Snowflake, Databricks, BigQuery or Redshift) and an orchestration tool (Airflow, Dagster, Prefect or similar). Hands-on experience with AI-native analytics. Experience integrating ERP and procurement systems (for example SAP, Oracle, NetSuite, Dynamics, Coupa or Ariba) via APIs, extracts or CDC. Solid grounding in dimensional modeling, master-data concepts and data-quality practices. Software engineering discipline: Git, CI/CD, automated testing, infrastructure-as-code basics. Prefer experience in data center, AI infrastructure, energy, construction or other capital-project-heavy industries with long-lead equipment (GPUs, networking, transformers, switchgear, generators). Other important requirements Pre-employment screening, including background check and substance testing may be required according to company policies. Must be able to reliably commute to the assigned office location on scheduled in-office days under the hybrid work arrangement. This role requires willingness to travel domestically and internationally to supplier and vendor sites, data centers, implementation partner locations, and industry events. IREN does not yet have an office in the Bay Area (a Santa Clara office is planned); until it opens, this role will work remotely, transitioning to hybrid on-site work once the office is established. Data pipelines and integration Design, build and maintain reliable ELT/ETL pipelines from supply chain source systems (ERP, procurement/P2P, inventory and warehouse, project controls, logistics and supplier portals) into the analytics platform. Integrate external data such as supplier catalogs, lead-time and market-price feeds, freight and customs data, and OEM shipment notifications. Own pipeline orchestration, scheduling, monitoring and alerting so data lands on time and failures are caught before users see them. Data modeling and standards Build and document the su…

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