Job Description

Head of Data Science



with excellent German (C1) and English skills



(all genders)

Location:

Germany



Munich

Frankfurt

Hamburg

Shaping the Digital Future



At DEVnet, we are an open-minded, international team distinguished by human values, an inspiring team spirit, and a desire to grow alongside our clients. Driven by our passion for technology and our industry expertise, we develop solutions that drive innovation using data, analytics, and technology. Our 150 experts across four different locations combine technological know-how and industry knowledge with an understanding of the needs of all stakeholders. This is how we develop sustainable solutions for a data-driven world.



Your impact

As an experienced consultant, you will lead the implementation of data science and analytics projects and have strategic responsibility for their success

You manage the data science team as a leader

You develop colleagues individually and take responsibility as a mentor and coach

You define and implement the data science roadmap in line with our business objectives and strategies

You manage complex challenges in the fields of advanced analytics, machine learning and GenAI

You are responsible for shaping, expanding and strategically developing of our data science community and support the entire data analytics division

You develop customer relationships at all levels proactively and operate as a key contact for strategic partnerships

You foster and expand your network in the data science community to anticipate trends and establish our company in the market successfully



Not sure whether the position is right for you? We're happy to connect you directly with our ETL colleagues.



Your profile

You have a degree in Data Science, Computer Science, Mathematics, Physics, Statistics, or similar fields

You are fluent in both, German and English

You have several years of experience in Data Science

You have a strategic mindset and problem-solving skills and can easily handle changing challenges

You have professional experience in IT Consulting, specifically in a lead position

You have extensive practical skills in programming with Python or R and in managing development processes

You are experienced in development and operationalization of models in Statistics or Machine Learning or GenAI models, also for their integration into enterprise systems using cloud technologies and containerization

You enjoy transferring knowledge and mentoring junior team members

You have strong communication and leadership skills, and enjoy presenting results to stakeholders at all organizational levels

You have ideally in-depth knowledge of working with various data architectures, technical solution concepts and strategy development for data platforms

You are enthusiastic for new professional, technical and industry-specific topics and motivate your team to develop their skills continuously

You are flexible to work in various projects and are willing to travel

Our offer

We are a financially stable and independent company, offering you a secure job in a forward-thinking industry

We foster a culture of informality and an open, appreciative work environment with various nationalities

You benefit from individual guidance and professional mentoring

You become part of a dedicated, international team in a familiar atmosphere

You are part of a team that embraces teamwork, creativity, and personal responsibility

We provide internal and external training opportunities tailored to your individual development budget

Every one of us participates in training in “Nonviolent Communication“. You can also further develop your skills in this area

We offer you an attractive salary and profit-sharing model

You will work in beautiful, modern, and centrally located offices in Munich, Frankfurt, or Hamburg

We regularly host team and company events at our locations

You have the opportunity for a mix of onsite and remote work

You have 30 days of vacation and additional special leave options

You can participate in various internal initiatives and topics