(Senior) Data Scientist (m/f/d)
München, Berlin, Paris
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Education & alternatives
What we require: - You hold a Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, or Engineering. - You have 2–6 years of experience in data science, machine learning, or advanced analytics, including exposure to Generative AI.
Tools in this posting
- Python
- scikit-learn
- Huggingface
Source — Tool mentions in context
- You have 2–6 years of experience in data science, machine learning, or advanced analytics, including exposure to Generative AI. - You have strong programming skills in Python and are familiar with ML and LLM frameworks such as Scikit-learn, LangChain, or Hugging Face. - You have a solid understanding of machine learning techniques and Generative AI use cases.
Job description
What we look for:
What we require:
What you can expect:
- You own data science and applied machine learning workstreams from problem discovery and experimentation through production implementation and measurable business impact.
- You work directly with client stakeholders and domain experts to decompose ambiguous business challenges, define success measures, and identify the simplest effective analytical approach.
- You build, validate, and deploy predictive, optimization, classification, and advanced analytics solutions using robust statistical and machine learning methods.
- You design evaluation frameworks that connect model performance with operational usability, risk, cost, and business outcomes.
- You collaborate with data engineers, AI engineers, software teams, and users to embed models into real workflows and iterate based on production feedback.
- You communicate assumptions, limitations, trade-offs, and recommendations clearly to technical and non-technical stakeholders.
- You turn project learnings into reusable analytical assets, methodologies, and delivery standards and support the development of less experienced colleagues.
What we require:
- You hold a Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, or Engineering.
- You have 2–6 years of experience in data science, machine learning, or advanced analytics, including exposure to Generative AI.
- You have strong programming skills in Python and are familiar with ML and LLM frameworks such as Scikit-learn, LangChain, or Hugging Face.
- You have a solid understanding of machine learning techniques and Generative AI use cases.
- You are able to work in client-facing environments and communicate complex topics clearly.
- 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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on ommax.jobs.personio.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
München, Berlin, Paris
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 112
- Last seen by us
- Sep 29, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.