Data Scientist (m/w/d) mit Schwerpunkt Quantencomputing

About

Artificial intelligence and quantum computing are revolutionizing the daily work of law firms – and DATEV is actively shaping this change. Our goal: to optimize and expand core processes of our members through AI solutions and to master data security through rapid advances in AI and quantum computing. Our innovative tools promote collaboration and successful technological change. The Homebase Data & AI is the organizational home for employees focusing on data & artificial intelligence. We are looking for a Data Scientist (m/f/d) with a focus on quantum computing for use in data-driven business cases. As a Data Scientist, you will be responsible for selecting, adapting, and implementing analytics algorithms and machine learning models, as well as for tasks in quantum computing and quantum encryption in exciting projects. Through your work, you will enable data-driven decisions and innovations, thereby maximizing the company value of data, taking into account technological developments in the context of quantum computing and quantum machine learning.

Responsibilities

• (Further) development and optimization of quantum algorithms, including known methods such as Grover, as well as dealing with probabilistic models such as Markov Logic Networks and Bayesian Networks, and application of tensor network decomposition methods.
• Implementation and optimization of classical ML, quantum ML, and deep learning methods.
• Independent planning, execution, and evaluation of experiments on quantum computers and quantum simulators.
• Contribution to mathematical and algorithmic problem formulation, particularly in the area of key breaking, such as prime factorization as a combinatorial optimization problem.
• Active shaping and continuous improvement of the development process for AI solutions in interdisciplinary teams with data scientists, software, requirements, and data engineers, as well as other stakeholders.

Qualifications

• Completed STEM degree and strong analytical and mathematical understanding, ideally including experience in quantum computing.
• Profound knowledge of quantum mechanics/quantum informatics and linear algebra, as well as experience with statistical models such as Markov Logic Networks (advantageous).
• Professional experience in creating and integrating extensive analyses, as well as in the fields of data science, machine learning, and deep learning.
• Programming skills, especially Python, as well as experience with quantum computing frameworks (Qiskit, Pennylane) and data science frameworks such as polars, pandas, sklearn, PyTorch, HuggingFace.
• Good communication skills for clearly presenting complex issues to team colleagues and stakeholders.

Benefits

• Fair and transparent remuneration, 13th month's salary, holiday bonus, and many other financial incentives
• Support for work-life balance through childcare offers and subsidies
• Company restaurant with daily changing, balanced menus and fresh, regional products
• And much more...

About Us

DATEV is more than a green rectangle. We are one of the largest software and IT service providers in Europe, headquartered in Nuremberg. More than 9,000 employees give their all to drive the digitalization of business processes for our over 900,000 customers. They rely on our PC and cloud solutions as well as mobile apps, using them to process around 14 million payrolls per month, for example. We are a strong and open community where people not only arrive quickly but also like to stay. Our culture of security and openness, combined with a technologically advanced working environment, ensures this. Diversity, Equity, and Inclusion are essential foundations for us, enabling everyone to participate equally in working life. DATEV stands for this every day. The best future is created in strong communities. #WirsindDATEV!

We look forward to receiving your application via our career portal and to getting to know you. To ensure a secure and efficient application process, we ask you to create an application account on the next page.