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CACarbmee GmbH

Data & AI Consultant(m/w/x)

Berlin, München
VollzeitRemoteBerufserfahren
AI/ML
Data Science

AI-powered pipeline development on carbmee EIS™ at enterprise software company for carbon emission reduction in manufacturing. Production experience with ML/LLMs/applied AI and strong data engineering foundation required; SAP/ERP understanding a strong plus. Virtual stock options, Urban Sports Club subscription, Nilohealth coaching sessions.

Anforderungen

  • Strong data engineering foundation
  • Python proficiency
  • SQL proficiency
  • Cloud platforms (AWS, GCP, or Azure) experience
  • ETL pipelines experience
  • Data modelling experience
  • Production experience with machine learning, LLMs, or applied AI
  • Comfort with messy, real-world enterprise data
  • Tenacity for data cleaning, modelling, and usability
  • Strong understanding of ERP systems (especially SAP) and enterprise data structures
  • Effective collaboration with engineering and non-technical stakeholders
  • Degree in Computer Science, Data Science, Mathematics, Statistics, or related field, or equivalent practical experience
  • English fluency
  • German language skills (plus)
  • Passion for sustainability

Aufgaben

  • Design and implement AI pipelines on carbmee EIS™
  • Ensure quality of AI pipeline deliverables
  • Oversee end-to-end data and AI workstreams
  • Lead data discovery and architecture design
  • Engage with customer data, IT, and sustainability
  • Understand customer data environments and ERP structures
  • Understand customer emissions reporting needs
  • Design scalable integration and modeling solutions
  • Build AI pipelines for emissions data collection
  • Build AI pipelines for carbon footprint calculation
  • Build AI pipelines for spend-based estimation
  • Build AI pipelines for Scope 3 data quality
  • Develop and fine-tune ML models for data enhancement
  • Develop and fine-tune LLM workflows for data enhancement
  • Integrate carbmee EIS™ with ERP systems (SAP)
  • Integrate carbmee EIS™ with procurement platforms
  • Integrate carbmee EIS™ with third-party data sources
  • Utilize APIs and data pipelines for integrations
  • Develop custom scripts (Python, SQL) for integrations
  • Transform and prepare complex enterprise datasets
  • Ensure data consistency with carbmee's model
  • Translate model outputs and analyses into executive insights
  • Generate insights to drive decarbonization decisions
  • Feed data and AI learnings to product engineering
  • Contribute to EIS™ platform intelligence improvements
  • Transform fragmented data into carbon accounting foundation
  • Accelerate customer insights through data transformation
  • Expand emissions data coverage with AI and ML
  • Fill supplier data gaps and improve estimation
  • Surface missed data signals
  • Connect procurement, logistics, and production datasets
  • Generate actionable intelligence for decarbonization
  • Build lasting data credibility with customer teams
  • Establish carbmee EIS™ as trusted infrastructure

Berufserfahrung

  • 2 - 5 Jahre

Ausbildung

  • Bachelor-Abschluss

Sprachen

  • Englischverhandlungssicher
  • DeutschGrundkenntnisse

Tools & Technologien

  • Python
  • SQL
  • AWS
  • GCP
  • Azure
  • ETL pipelines
  • data modelling
  • machine learning
  • LLMs
  • applied AI
  • ERP systems
  • SAP

Benefits

Attraktive Vergütung

  • Virtual stock options

Gesundheits- & Fitnessangebote

  • Urban Sports Club subscription

Mentale Gesundheitsförderung

  • Nilohealth coaching sessions

Flexibles Arbeiten

  • Flexible hybrid/remote work

Modernes Büro

  • Accessible office

Team Events & Ausflüge

  • Summer offsite
  • Winter party
  • Regular team events
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Carbmee GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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