We use cookies to run the site and count visits. "Got it" also allows session recording.
OOMMAX
München, Germany8 months ago
Grade
Senior
Experience
2-6 years
Work format
Hybrid
English level
C1, advanced
An email or a Telegram message to the recruiter
Your impact is crucial: you actively shape the digital future in a highly motivated and intelligent team in close cooperation with founders and partners, ensuring real value through a successful blend of strategy and execution.
You will be responsible for Data Science and Applied Machine Learning, from problem identification and experimentation to productive implementation and achievement of measurable business impact. You will work directly with client stakeholders and industry experts to structure ambiguous business challenges, define success criteria, and identify the most impactful analytical approach. You will develop, validate, and deploy solutions in predictive analytics, optimization, classification, and advanced analytics using robust statistical and machine learning methods. You will develop frameworks for evaluation that link model performance to operational applicability, risks, costs, and business outcomes. You will collaborate with data engineers, AI engineers, software development teams, and end-users to integrate models into real-world workflows and evolve them based on feedback from the production environment. You will clearly communicate assumptions, limitations, trade-offs, and recommendations to both technical and non-technical stakeholders. You will translate learnings from projects into reusable analytical assets, methods, and delivery standards, and mentor less experienced colleagues.
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 to 6 years of experience in Data Science, Machine Learning, or Advanced Analytics, preferably with experience in Generative AI. You possess very good Python programming skills and are familiar with ML and LLM frameworks such as Scikit-learn, LangChain, or Hugging Face. You have a deep understanding of machine learning methods and Generative AI use cases. You can operate in a client-facing role and explain complex topics clearly. You are fluent in English; knowledge of other location-dependent languages is an advantage.
Your contribution will pay off! Benefit from attractive reward packages, participation in sales success, and exclusive investment opportunities. Additionally, we support our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development is our concern: from day one, you will be supported on your journey through diverse development opportunities, quickly take on responsibility, and get the chance to shape your individual career with us – with us, you will become a Digital Leader! Your work environment: immerse yourself in a diverse and family-friendly environment with a strong team spirit and benefit from a flexible and hybrid working model at one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your outlook on the future: you will work at the forefront of technology, gaining valuable knowledge and practical experience with a focus on digital business models and data-driven value creation across eight future-oriented industries. Your additional benefits: look forward to regular team events and joint sports activities, an attractive company pension scheme, exclusive fitness and wellness club memberships, as well as subsidies for transportation and food, and various other corporate benefits.
You will be responsible for Data Science and Applied Machine Learning, from problem identification and experimentation to productive implementation and achievement of measurable business impact. You will work directly with client stakeholders and industry experts to structure ambiguous business challenges, define success criteria, and identify the most impactful analytical approach. You will develop, validate, and deploy solutions in predictive analytics, optimization, classification, and advanced analytics using robust statistical and machine learning methods. You will develop frameworks for evaluation that link model performance to operational applicability, risks, costs, and business outcomes. You will collaborate with data engineers, AI engineers, software development teams, and end-users to integrate models into real-world workflows and evolve them based on feedback from the production environment. You will clearly communicate assumptions, limitations, trade-offs, and recommendations to both technical and non-technical stakeholders. You will translate learnings from projects into reusable analytical assets, methods, and delivery standards, and mentor less experienced colleagues. 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 to 6 years of experience in Data Science, Machine Learning, or Advanced Analytics, preferably with experience in Generative AI. You possess very good Python programming skills and are familiar with ML and LLM frameworks such as Scikit-learn, LangChain, or Hugging Face. You have a deep understanding of machine learning methods and Generative AI use cases. You can operate in a client-facing role and explain complex topics clearly. You are fluent in English; knowledge of other location-dependent languages is an advantage. Your impact is crucial: you actively shape the digital future in a highly motivated and intelligent team in close cooperation with founders and partners, ensuring real value through a successful blend of strategy and execution. Your contribution will pay off! Benefit from attractive reward packages, participation in sales success, and exclusive investment opportunities. Additionally, we support our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development is our concern: from day one, you will be supported on your journey through diverse development opportunities, quickly take on responsibility, and get the chance to shape your individual career with us – with us, you will become a Digital Leader! Your work environment: immerse yourself in a diverse and family-friendly environment with a strong team spirit and benefit from a flexible and hybrid working model at one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your outlook on the future: you will work at the forefront of technology, gaining valuable knowledge and practical experience with a focus on digital business models and data-driven value creation across eight future-oriented industries. Your additional benefits: look forward to regular team events and joint sports activities, an attractive company pension scheme, exclusive fitness and wellness club memberships, as well as subsidies for transportation and food, and various other corporate benefits.
We compare skills, grade, work format and salary
Most often 68,500 to 78,600
