{"id":4009307,"url":"https://alion.io/job/iren-senior-data-scientist-full-stack","title":"Senior Data Scientist, Full Stack","company":{"id":47565,"name":"IREN","domain":"iren.com","url":"https://alion.io/company/iren","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HiBob","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":225000,"max":285000,"currency":"USD","period":"year","gross":null,"usd_annual":285000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T23:41:48Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T09:08:38Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"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: #hybridIREN 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. \nThe 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.\nWith 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.\nResponsibilities\nData pipelines and integrationDesign, 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.\nIntegrate external data such as supplier catalogs, lead-time and market-price feeds, freight and customs data, and OEM shipment notifications.\nOwn pipeline orchestration, scheduling, monitoring and alerting so data lands on time and failures are caught before users see them.\nData modeling and standardsBuild and document the supply chain data model: supplier, material/part, purchase order, contract, receipt, inventory, shipment and project/site dimensions and facts.\nDefine conformed dimensions and master-data rules (supplier hierarchy, category taxonomy, site and project codes) with the Director, Data Analytics and master-data owners.\nSet and enforce engineering standards for the team: version control, code review, testing, environments and deployment.\nData quality and governanceImplement automated data-quality checks (completeness, freshness, reconciliation to source) and publish data-quality metrics.\nMaintain data lineage, definitions and a catalog so analysts and business users can trust and find the data.\nDetermine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.\nAnalytics enablementPartner with analysts to deliver the datasets behind spend cubes, supplier scorecards, lead-time and on-time-delivery tracking, inventory health and transformation KPIs.\nDesign, build, and launch dashboards and visualization reporting that support multiple use cases across different domains.\nBuild the data foundations for forecasting and planning use cases (demand and lead-time forecasting, should-cost, supplier risk) and support analytics and data science teammates in productionizing models.\nContribute to system-selection and implementation work (procurement, planning and supplier-management tools) by defining data requirements and integration patterns.\nRequirements\nBachelor's degree in computer science, engineering, information systems, supply chain or a related field, or equivalent practical experience.\n8+ years in data engineering, with at least 2 years building pipelines and data models for supply chain, procurement, operations or finance data.\nExcel at data driven storytelling to cater to a broad stakeholder team and audience. \nStrong understanding of supply chain processes, tools, stakeholder interactions, and processes and experience working with ERP/MRP, CLM, PLM, QMS tools\nExpert SQL and strong Python; comfortable with dbt or an equivalent transformation framework.\nHands-on experience with a modern cloud data platform (Snowflake, Databricks, BigQuery or Redshift) and an orchestration tool (Airflow, Dagster, Prefect or similar).\nHands-on experience with AI-native analytics.\nExperience integrating ERP and procurement systems (for example SAP, Oracle, NetSuite, Dynamics, Coupa or Ariba) via APIs, extracts or CDC.\nSolid grounding in dimensional modeling, master-data concepts and data-quality practices.\nSoftware engineering discipline: Git, CI/CD, automated testing, infrastructure-as-code basics.\nPrefer experience in data center, AI infrastructure, energy, construction or other capital-project-heavy industries with long-lead equipment (GPUs, networking, transformers, switchgear, generators).\n Other important requirementsPre-employment screening, including background check and substance testing may be required according to company policies.\nMust be able to reliably commute to the assigned office location on scheduled in-office days under the hybrid work arrangement.\nThis 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.\nBenefits\nThe IREN Package At IREN, we offer a highly competitive compensation package that includes base salary, annual performance incentives, and opportunities to build long-term wealth through equity programs. These offerings are part of our broader Total Rewards package, thoughtfully designed to support your health, well-being, and long-term success. \nCompensation\nThe expected base salary for this role USD $225,000-$285,000/annum.Actual compensation will be determined based on factors such as experience, qualifications, and market data for the region.\n\nTotal Compensation package may be inclusive of annual incentive bonus, equity (long-term incentive).\nRelocation or Living-out-allowance / per diem (as appliable and based on successful candidate circumstances)\nHealth & Wellness100% company paid health insurance premiums (medical, dental, and vision) for employees, 75% company paid coverage for dependents\nCompany-paid short-term and long-term disability insurance\nVoluntary life, critical illness, and accident coverage available\nHealth Savings Accounts (HSA) - when combined with the High Deductible Health Plan\nEmployee Assistance Program and wellness resources\nRetirement & Financial Wealth401(k) retirement plan with company match\nAccess to financial planning and legal services\nTime Off & Leave ProgramsPaid Time Off (PTO) and paid holidays \nGrowth & DevelopmentInternal skills training and advancement pathways\nProfessional development to support certifications, continuing education, or role related training \nCommunity & CultureCompany events and team-building activities \nWe value diverse perspectives and believe that skills can be developed. If you’re passionate about this role, we want to hear from you - whether you meet every criteria or not. Your unique experiences might be exactly what we need! IE US Operations Inc., the employing entity and proud member of the IREN group is an equal opportunity employer that is committed to creating an inclusive workplace. We are committed to evaluating qualified applicants and do not discriminate against protected characteristics under applicable legislation. \nIE US Operations, Inc. “IREN” participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States. \nBy applying for this position and submitting your resume and application materials, you consent to the processing of your personal information in accordance with our Job Applicant Privacy Statement available on our website at www.iren.com.","description_format":"text","description_chars":8161,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Company events","Equity","Health insurance","Hybrid work","Professional development","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Data Centers & Colocation","Mining & Staking"],"lifecycle":[{"event":"open","at":"2026-11-10T09:08:38Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":10,"expected_fill_days":36,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-10T10:19:18Z"},"pay":{"stated_usd_annual":285000,"is_top_pay":true},"html_url":"https://alion.io/job/iren-senior-data-scientist-full-stack","json_url":"https://alion.io/job/iren-senior-data-scientist-full-stack.json","meta":{"generated_at":"2026-11-10T10:19:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":23973,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":47565},"rest":"https://alion.io/mcp/rest/get_company?id=47565"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Firen-senior-data-scientist-full-stack"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Firen-senior-data-scientist-full-stack"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Firen-senior-data-scientist-full-stack"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/iren-senior-data-scientist-full-stack\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Firen-senior-data-scientist-full-stack"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4009307}},{"tool":"search_jobs","arguments":{"company":"iren.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4009307},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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