Home › Companies › Ommax › Lead Data Scientist (m/f/d)
Lead Data Scientist (m/f/d)
Ommax · München · Hybrid · Active · Personio
Job facts
| Field | Value |
|---|---|
| Company | Ommax |
| Title | Lead Data Scientist (m/f/d) |
| Normalized title | - |
| Department / team | Data & AI |
| Location | München |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Personio |
| Posted / first seen | 2026-03-27 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Ommax. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Personio. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data & AI. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Ommax |
| Source | 8f324fe7-b9d0-485a-9218-4cbf6cd8a761 |
| ATS provider | Personio |
Description
What we look for:
You define analytics and Generative AI strategies and lead the end-to-end delivery of data science and GenAI projects. You design methodologies and scalable solutions leveraging both traditional machine learning and LLM-based approaches. You manage and mentor teams on advanced analytics and Generative AI best practices. You collaborate with stakeholders to identify high-impact Generative AI use cases and define execution roadmaps. You drive innovation by developing new analytics and Generative AI offerings.
What we require:
You hold a Master’s or PhD in a quantitative field such as Data Science, Mathematics, Computer Science, or Engineering. You have 8+ years of experience in advanced analytics or data science, including Generative AI applications. You have deep expertise in machine learning, statistics, and LLM architectures. You have strong leadership and project management capabilities. You are able to translate business challenges into advanced analytics and AI solutions. You are fluent in English; additional local language skills are a plus.
What you can expect:
Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development - our concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at OMMAX - with us you will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships as well as mobility and meal allowances and a wide range of other company benefits.
Full job record
| Job ID | 5e6308d08d25c14e509bccd965042b0bf29a8d56 |
| Org ID | 619271f3-9f71-45d8-8be0-e1e4ab92e8d8 |
| Source ID | 8f324fe7-b9d0-485a-9218-4cbf6cd8a761 |
| Board ID | 8f324fe7-b9d0-485a-9218-4cbf6cd8a761 |
| Provider | personio |
| Provider Job Key | 2579085 |
| Title | Lead Data Scientist (m/f/d) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | München |
| Department | Data & AI |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | München |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ommax.jobs.personio.de/job/2579085?language=en |
| Apply URL | https://ommax.jobs.personio.de/job/2579085?language=en |
| First Seen At | 2026-05-30 05:59:02Z |
| Last Seen At | 2026-06-06 08:00:07Z |
| Last Checked At | 2026-06-06 08:00:07Z |
| Last Changed At | 2026-05-30 05:59:02Z |
| Inactive At | — |
| Source Posted At | 2026-03-27 14:20:07Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=personio/board=ommax.de/date=2026-06-06/2026-06-06T08-00-06-919Z-de610426cbcfcb61c9bef48129a978b59d3391f44f9fe47470249ca46e6cd1c8.json |
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