We are seeking a skilled Data Scientist to join our dynamic team, which develops innovative digital solutions, creates exciting new customer experiences, and drives efficiencies in processes. We believe the right path is through creativity, trial and error, and great people working and learning together. Become part of our team and develop the future with us - in a global team that embraces diversity and equal opportunities.
About the Job / What You Can Expect:
Our team provides exceptional Data Science services to stakeholders across various sectors. We play a vital role in driving AI transformation and serve as the backbone of the Analytics & AI Community. With a focus on enablement, scalability, reproducibility, and transparency, our data scientists support data-driven use cases of strategic importance. Our goal is to empower stakeholders by providing cutting-edge solutions that enable informed decision-making and drive business growth.
As a Data Scientist in this role, you will be responsible for the entire data science model lifecycle, including data analysis, model development and training, and cloud deployment. Working closely with our business partners, you will provide insights from data that support better and faster business decisions. You will support data projects from ideation to commissioning and provide ongoing service and support during runtime.
Your main tasks in this role would be:
* Collaborate with stakeholders across the organization to understand and support their data-driven use cases.
* Deliver AI solutions that enable informed decision-making and drive business growth for our internal clients.
* Actively identify needs of our business partners and translate them into software specifications, working closely with other data scientists and roles like data & software engineers and architects to manage the development.
* Execute data science projects in the context of AI Enablement, including defining and evaluating use cases, developing algorithms, and effectively communicating results.
* Plan the implementation of solutions, choosing the right technologies, and evaluating the evolution of the architecture as clients' needs change.
* Ensure that your solutions are scalable, reproducible, and transparent, adhering to best practices and industry standards.
* Act as a catalyst for enablement, provide guidance and support to stakeholders in utilizing AI and Data Science to their fullest potential.
* Stay up to date with the latest advancements in AI, Data Science, and related technologies, and proactively apply them to enhance the effectiveness of your solutions.
Internal Collaboration:
* Contribute to the development and enhancement of the Analytics & AI Community, sharing knowledge and insights with colleagues.
Required Qualifications:
* A Master's degree in computer or data science, mathematics, statistics, or a related discipline with at least 3 years of (non-academic) work experience in a similar role.
* A Bachelor's degree in computer or data science, mathematics, statistics, or a related discipline with at least 5 years of (non-academic) work experience in a similar role.
* Proficiency in programming languages such as Python and R, with practical hands-on experience.
* Familiarity with cloud technologies, specifically Microsoft Azure or similar platforms.
* Strong skills in transforming, optimizing, analyzing, and modeling real-world datasets using relevant libraries, e.g., in Python (Pandas, Numpy, etc.) or similar.
* Proven track record of implementing machine learning & AI solutions and performing statistical analysis with widespread frameworks (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).
* Understanding of AI solution components, including MLOps, serving infrastructure, performance monitoring, and cost control in a cloud environment.
* Excellent business and technical consulting skills with the ability to influence stakeholders and drive change.
* Strong teamwork and communication skills, both written and verbal, in English.
* Proficiency in data visualization and the ability to explain quantitative topics to non-technical colleagues, e.g., through storytelling.
Nice to Have:
* Hands-on experience developing customized generative AI solutions for business use cases, including expertise in concepts like finetuning and RAG and popular frameworks.
* Hands-on experience in software development, preferably for cloud-based applications, in an agile setup, such as Kanban or Scrum.
* Understanding of natural sciences and/or the chemical industry.
* Conversational skills in German.
