Senior Data Scientist, Full Stack

IREN•San Francisco, CA

3d•$225,000 - $285,000•Hybrid

About The Position

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 data architecture, tooling standards, and ways of working. 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. IREN is a leading AI Cloud Service Provider that delivers large-scale GPU clusters for AI training and inference. Its vertically integrated platform includes grid-connected land and data centers in renewable-rich regions across the U.S. and Canada. IREN builds, owns, and operates data centers using 100% renewable energy. The role is hybrid in the San Francisco Bay Area once an office is established. Until the planned Santa Clara office opens, the role will work remotely. The position requires reliable commuting to the assigned office on scheduled in-office days and willingness to travel domestically and internationally to supplier and vendor sites, data centers, implementation partner locations, and industry events. Pre-employment screening, including background checks and substance testing, may be required according to company policies. The expected base salary is USD $225,000–$285,000 per year. Total compensation may include an annual incentive bonus and long-term incentive equity. Relocation or a living-out allowance/per diem may be available depending on the successful candidate’s circumstances. Benefits include company-paid health coverage, disability insurance, voluntary insurance options, an Employee Assistance Program, a 401(k) with company match, paid time off and holidays, professional development, and company events.

Requirements

Bachelor’s degree in computer science, engineering, information systems, supply chain, or a related field, or equivalent practical experience.
8+ years in data engineering, including at least 2 years building pipelines and data models for supply chain, procurement, operations, or finance data.
Ability to deliver data-driven storytelling for a broad stakeholder team and audience.
Strong understanding of supply-chain processes, tools, and stakeholder interactions, with experience working with ERP/MRP, CLM, PLM, and QMS tools.
Expert SQL and strong Python skills; comfortable with dbt or an equivalent transformation framework.
Hands-on experience with a modern cloud data platform such as Snowflake, Databricks, BigQuery, or Redshift, and an orchestration tool such as Airflow, Dagster, Prefect, or similar.
Hands-on experience with AI-native analytics.
Experience integrating ERP and procurement systems, such as SAP, Oracle, NetSuite, Dynamics, Coupa, or Ariba, through APIs, extracts, or CDC.
Solid grounding in dimensional modeling, master-data concepts, and data-quality practices.
Software engineering discipline, including Git, CI/CD, automated testing, and infrastructure-as-code basics.
Must be able to reliably commute to the assigned office location on scheduled in-office days under the hybrid work arrangement.
Willingness to travel domestically and internationally to supplier and vendor sites, data centers, implementation partner locations, and industry events.

Nice To Haves

Experience in data center, AI infrastructure, energy, construction, or other capital-project-heavy industries with long-lead equipment such as GPUs, networking equipment, transformers, switchgear, and generators.

Responsibilities

Design, build, and maintain reliable ELT/ETL pipelines from supply-chain source systems, including ERP, procurement/P2P, inventory and warehouse, project controls, logistics, and supplier portals.
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 to ensure timely data delivery and detect failures before users are affected.
Build and document the supply-chain data model, including supplier, material/part, purchase order, contract, receipt, inventory, shipment, and project/site dimensions and facts.
Define conformed dimensions and master-data rules, including supplier hierarchy, category taxonomy, and site and project codes, with the Director, Data Analytics, and master-data owners.
Set and enforce engineering standards for version control, code review, testing, environments, and deployment.
Implement automated data-quality checks for completeness, freshness, and reconciliation to source, and publish data-quality metrics.
Maintain data lineage, definitions, and a catalog so analysts and business users can find and trust data.
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data-quality issues, and evolve governance processes within areas of ownership.
Partner with analysts to deliver datasets for spend cubes, supplier scorecards, lead-time and on-time-delivery tracking, inventory health, and transformation KPIs.
Design, build, and launch dashboards and visualization reporting for multiple use cases across different domains.
Build data foundations for forecasting and planning use cases, including demand and lead-time forecasting, should-cost, and supplier risk; support analytics and data science teammates in productionizing models.
Contribute to system-selection and implementation work for procurement, planning, and supplier-management tools by defining data requirements and integration patterns.

Benefits

Base salary of USD $225,000–$285,000 per year.
Annual performance incentives and opportunities to build long-term wealth through equity programs; total compensation may include annual incentive bonus and long-term incentive equity.
Relocation or living-out allowance/per diem may be available depending on candidate circumstances.
100% company-paid employee medical, dental, and vision insurance premiums; 75% company-paid dependent coverage.
Company-paid short-term and long-term disability insurance.
Voluntary life, critical illness, and accident coverage available.
Health Savings Accounts when combined with the High Deductible Health Plan.
Employee Assistance Program and wellness resources.
401(k) retirement plan with company match.
Access to financial planning and legal services.
Paid time off and paid holidays.
Internal skills training and advancement pathways.
Professional development to support certifications, continuing education, or role-related training.
Company events and team-building activities.