Data Science Working Student (f/m/d)

Your responsibilities

• Identify, analyze, and translate business needs into conceptual, logical, and physical data models

• Evaluate cutting-edge ML/AI models in academic papers for energy applications, and communicate findings to shape project strategies.

• Support the development, implementation and deployment of state-of-the-art ML/AI models and technologies in digital pipelines together with IoT, Data and ML Engineers

• Contribute to the venturing of innovative R&D projects, from elaboration of technical ideas and concepts, through development of integrated hardware- and software prototypes and business development

• Work in a cross-functional team, and communicate effectively technical requirements and business interdependencies across engineering- and management disciplines

• Keep yourself ahead of emerging technologies, state of the art components and best practices in the areas of robotics, industrial IoT and AI in energy industry

Your profile

• Advanced bachelor- or early master studies in the field of computer science, mathematics, data science or equivalent

• Good knowledge in programming skills, especially Python. Familiarity with Matlab would be a plus

• Experience with data science tools and libraries: NumPy, SciPy, Matplotlib, Scikit-learn, PyTorch (or equivalent), Jupyter Notebooks.

• Well-founded knowledge on Object Oriented Programming, and Software Engineering

• Experience with version control system git and platforms such as GitHub or GitLab

• Knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization

• Desired but not required, experience in formulating and solving optimization problems with python libraries such as pyomo or similar tools

• Sound Knowledge about Signal Processing especially convolutions, fourier transform

• Desired but not required, experience with DevOps, CI/CD pipelines or Docker desirable. Knowedge on MLOps, and model registry would be even better

• Well-founded knowledge about the energy industry, its mechanisms, and challenges; professional experience in the energy industry is a plus

• An experimental and entrepreneurial mindset and a desire to build things from scratch or optimize ones that already exist

• Outstanding communication, and documentation skills with the ability to communicate complex technical ideas, regardless of the technical capacity of the audience

• Passion for technology and the inner desire to solve problems and move things forward

• Fluent in spoken and written English; German is a plus

Our Benefits

• We give you flexibility: Thanks to our flexible working hours, you can easily balance your university life and your job.

• We value your contribution: We support your financial independence with a competitive salary.

• Recharge your batteries: With us, you have 30 days of vacation per year (Christmas and New Year's Eve are always free).

• Your further development: We are growing - and want you to grow with us. We offer you interesting and varied tasks and many options for a future job after graduation.

• And that's not all: We will be happy to discuss all other benefits with you in the recruiting process

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