SGI

Head of Data Science

SGI WorkFromHome

Stellenbeschreibung:

Location: Munich, Germany (Hybrid – 2 days/week in office)

We’re proud to be supporting a fast-growing AI-driven SaaS company based in Munich, building next-generation tools that use generative AI to automate decision-making, content intelligence, and predictive insights. Their mission is to make enterprise AI accessible, ethical, and impactful.

The Role

We’re looking for a Head of Data Science to lead our data and GenAI strategy end-to-end — from experimentation to scalable deployment. You’ll shape our AI roadmap, grow a high-impact team, and ensure our data science function drives measurable product and customer value.

Responsibilities

  • Own the data science and GenAI vision across products and infrastructure.
  • Lead, mentor, and scale a cross-functional team of data scientists and ML engineers.
  • Design production-ready ML/GenAI systems (LLMs, embeddings, fine-tuning, prompt optimisation).
  • Collaborate with Product & Engineering to identify and deliver high-value AI use cases.
  • Stay ahead of trends in multimodal AI, MLOps, and applied LLM innovation.

Qualifications

  • 8+ years in data science / ML, including 3+ in leadership (preferably SaaS or AI products).
  • Strong technical foundation: Python, ML frameworks (PyTorch, Transformers, LangChain, etc.), data pipelines, and cloud ML platforms (AWS/GCP/Azure).
  • Experience deploying GenAI models or integrating LLMs into products.
  • Strategic thinker who can bridge business impact and technical rigour.
  • Fluent in English; German a plus.

Benefits

  • Lead AI innovation in a growing SaaS business.
  • Shape the GenAI roadmap from strategy to scale.
  • Competitive salary + equity + professional growth budget.

Seniority Level

  • Mid-Senior level

Employment Type

  • Full-time

Job Function

  • Information Technology, Engineering, and Product Management

Industries

  • IT Services and IT Consulting
  • IT System Custom Software Development
  • Data Infrastructure and Analytics

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

    Development & IT
  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    06 Nov 2025
  • Standort:

    WorkFromHome

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