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Senior Data Scientist

Xentral

full-remoteseniorpermanentdatabackend Full remote 73 days ago via WTTJ

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Tags

Generative AILLMsRAGPythonSQLMachine LearningAI EvaluationEmbeddingsStakeholder ManagementERP

About the role

Role Overview

Join xentral as a Senior Data Scientist in a hands-on role shaping the future of AI in ERP workflows. You’ll collaborate across engineering, product, customer teams, and data science to design, prototype, evaluate, and deploy AI features.

Key Missions

  • Design and implement KI/AI features in ERP workflows.
  • Develop evaluation frameworks to measure quality and performance of AI features.
  • Translate user requirements into data workflows and scalable solutions.
  • Work closely with engineers, product managers, customers, and fellow data scientists to define the next generation of ERP intelligence.
  • Audit, optimize, and scale customer-facing SQL reports on the ERP platform to meet user needs.

Responsibilities

  • Build and iterate on AI features for real-world deployments.
  • Assess AI concepts and apply them to ERP use cases.
  • Produce evaluation methods, metrics, and frameworks for AI effectiveness.
  • Improve and optimize SQL-based reporting for end users.

Requirements

  • Comprehensive understanding of generative AI components, including:
    • LLMs, embeddings, logprobs, and evaluation methods/metrics
  • Strong expertise in Python and relevant ML/AI frameworks, including AI design patterns such as RAG.
  • 5+ years experience in a data science / machine learning / AI engineering role.
  • Advanced SQL skills for complex, user-facing reporting.
  • Strong communication skills and ability to work with both technical and non-technical stakeholders.
  • Fluent English and German.

Nice to Have

  • Not explicitly stated, but additional depth in ML evaluation and production deployment practices would be beneficial.

About Xentral

Xentral is a fast-growing startup in the ERP space. The company builds AI-enabled capabilities for ERP workflows, partnering with engineers, product managers, and customers to deliver real-world intelligent automation and reporting.

Scraped 5/13/2026