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10 часов назад

Data & AI Consultant (All Levels) (ClimateTech)

Формат работы
remote (только Germany)/hybrid
Тип работы
fulltime
Грейд
trainee/junior/middle/senior
Английский
c1
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data & AI Consultant (ClimateTech): Own end-to-end data and AI workstreams in enterprise customer deployments, building AI-powered pipelines on EIS™ for emissions data with an accent on supplier data collection, carbon footprint calculation, and Scope 3 improvements. Focus on designing scalable integrations with ERP systems, developing ML/LLM models, and transforming messy datasets into actionable insights.

Location: Based in Berlin or Munich, flexible hybrid or fully remote working culture with offices in Berlin-Mitte or Munich center.

Company

Enterprise software company providing Environmental Intelligence System EIS™ for complex industrial sectors like Automotive and Defense to measure and reduce carbon emissions, backed by €20M Series A with hubs in Berlin and Munich.

What you will do

  • Own end-to-end data and AI workstreams from discovery to production-grade pipelines on hirify.global EIS™.
  • Engage with customer data, IT, and sustainability teams to design scalable integration and modeling solutions.
  • Build and deploy AI pipelines for supplier emissions, product carbon footprints, spend-based estimation, and Scope 3 data quality.
  • Develop and fine-tune ML models and LLM workflows to enhance emissions data coverage and accuracy at scale.
  • Integrate EIS™ with ERP (SAP), procurement platforms, and third-party sources via APIs, pipelines, and Python/SQL scripts.
  • Transform complex enterprise datasets for consistency and alignment with hirify.global data model.
  • Translate model outputs into executive insights driving decarbonization and feed learnings back to product team.

Requirements

  • Based in Berlin or Munich.
  • Strong data engineering: Python, SQL, cloud platforms (AWS, GCP, Azure), ETL pipelines, data modeling.
  • Experience with ML, LLMs, or applied AI in production.
  • Comfort with messy enterprise data and tenacity to clean and model it.
  • Degree in Computer Science, Data Science, Math, Stats, or equivalent experience.
  • Fluency in English; German is a plus.
  • Understanding of ERP (SAP) and enterprise data structures is a strong plus.

Nice to have

  • Understanding of ERP systems especially SAP.
  • Passion for sustainability and decarbonization.

Culture & Benefits

  • Flexible hybrid or fully remote with accessible offices in Berlin and Munich.
  • Attractive compensation with virtual stock options, steep learning curve, and ownership from day one.
  • Urban Sports Club, 1:1 mental health coaching with Nilohealth.
  • Transparency, Humility, Accountability values; multinational motivated team.
  • Offsites, parties, team events; monthly All-Hands, updates, Founders Q&As.

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