(Senior) Data Scientist (m/f/d)

Avomind; München; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Attractive salary packages

Participation in sales success

Exclusive investment opportunities

Company pension scheme

Fitness and wellness partnerships

Mobility and meal allowances

Regular team events

Zusammenfassung

Avomind in Munich is seeking a data science professional to apply statistical, machine learning, and Generative AI techniques to solve business problems. The role involves analyzing complex datasets and collaborating with teams to deliver actionable insights.

Ideal candidates will have a degree in a quantitative field and 2–6 years of relevant experience, along with proficiency in Python and familiarity with machine learning frameworks. The position offers a flexible working model and various employee benefits including a company pension scheme.

Qualifikationen

• 2–6 years of experience in data science, machine learning, or advanced analytics.
• Familiarity with Generative AI.
• Strong programming skills in Python.
• Ability to work in client-facing environments.

Aufgaben

• Apply statistical, machine learning, and Generative AI techniques.
• Analyze and visualize complex datasets.
• Collaborate with teams to design data-driven solutions.
• Build, test, and deploy models.
• Guide less experienced team members.

Kenntnisse

Statistical techniques

Machine Learning

Generative AI

Python programming

Scikit-learn

LangChain

Hugging Face

Ausbildung

Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or Engineering

Jobbeschreibung

What client look for:

• You apply statistical, machine learning, and Generative AI techniques to solve business problems and generate actionable insights.
• You analyse and synthesise complex datasets, incorporating unstructured data and GenAI outputs into clear visualisations and narratives.
• You collaborate with cross-functional teams and clients to design data-driven and GenAI-enabled solutions.
• You build, test, and deploy models, including prompt-based and LLM-powered applications.
• You translate analytical and Generative AI outputs into actionable recommendations for stakeholders.
• You guide less experienced team members and contribute to best practices in analytics and AI.

What the client requires:

• 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: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 the company. 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.