IREN
Senior Data Scientist, Full Stack
$225K–$285K
San Francisco, California · Hybrid · Senior · Full-time · Posted Oct 30, 2026
- Experience
- 8+ years in data engineering, including at least 2 years building pipelines and data models for supply chain, procurement, operations, or finance data.
- Education
- Bachelor’s degree in computer science, engineering, information systems, supply chain, or a related field, or equivalent practical experience.
- Visa sponsorship
- IREN participates in E-Verify and will provide the federal government with Form I-9 information to confirm that applicants are authorized to work in the United States.
About the job
Build and modernize IREN’s supply-chain data infrastructure, analytics datasets, and dashboards to improve visibility into procurement, inventory, suppliers, logistics, and project delivery.
What you'll do
- Build and maintain data pipelines, models, integrations, orchestration, and data-quality and governance processes.
- Set engineering standards and enable analytics through trusted datasets, dashboards, and data foundations for forecasting and planning.
- Define data requirements and integration patterns for procurement, planning, and supplier-management system implementations.
What they ask for
- Bachelor’s degree in a related field or equivalent practical experience.
- Expert SQL, strong Python, and comfort with dbt or an equivalent transformation framework.
- Hands-on experience with a modern cloud data platform and orchestration tool; experience integrating ERP and procurement systems.
- Solid grounding in dimensional modeling, master-data concepts, data quality, and software engineering practices.
Nice to have
- Experience in data center, AI infrastructure, energy, construction, or other capital-project-heavy industries with long-lead equipment.
Pay
USD $225,000-$285,000/annum (base salary)
Tools
SQL, Python, dbt, Snowflake, Databricks, BigQuery, Redshift, Airflow
AI focus
Hands-on experience with AI-native analytics; build data foundations for forecasting and planning, including demand and lead-time forecasting, should-cost, and supplier risk, and support productionizing models.
Model-written summary · the original posting is authoritative