Job
In this role, you will develop data-driven solutions, analyze data, model machine learning algorithms, and implement them into production applications using Python and the data science stack.
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Job technologies
Your role in the team
- You will take on a broad range of tasks related to data-driven solutions—from requirements gathering, analysis, and modeling through to implementation in production applications.
- You analyze data, develop statistical methods and machine learning models, and evaluate them using appropriate metrics and validation approaches.
- You are responsible for designing and implementing the data science components of client projects and work in agile, interdisciplinary teams across a range of industries and use cases.
- You implement data science solutions as software: structured code, version control, reviews/tests, and reproducible execution—not just in a notebook.
- You support the operationalization of data-driven solutions (e.g., as a service/API, batch job, or pipeline) and work on reliable data provisioning and handling the resulting data streams.
- You work with the open-source Python data science stack and, depending on the project, with big data and cloud technologies.
- You evaluate and select suitable tools and frameworks and contribute to technical architecture decisions within the team.
- You communicate analysis results and solution concepts clearly and appropriately to both technical and non-technical stakeholders.
Our expectations of you
Education
- Completed degree in statistics, mathematics, computer science, natural sciences, or a comparable field (PhD welcome, but not required).
Qualifications
- Very good knowledge of Python and the modern open-source data science stack (e.g., pandas, NumPy, scikit-learn).
- Basic knowledge of, or willingness to learn about and develop your skills in, topics such as SQL, messaging/streaming (e.g. Kafka, MQTT), time-series/SQL databases, and cloud/container orchestration (e.g. Kubernetes).
- Excellent written and spoken German and English skills, as well as the ability to communicate complex content clearly.
Experience
- Several years of hands-on experience in data science and ML projects, including model implementation and production-ready deployment.
- Experience in software development in a data environment (clean code structure, Git, basic testing and code review practices).
- Practical experience with Docker and reproducible development and runtime environments.
What we offer
- Hybrid working model: 40% office-based at our locations in Essen or Bremen, with flexible arrangements depending on where you live.
- Flexible working hours: Organize your workday independently and in a way that suits your life situation.
- Company culture: Mutual respect and continuous learning are at the heart of everything we do.
- Structured onboarding: A personalized mentoring program supports you as you get started.
- 30+ days of vacation: We reward your loyalty with additional vacation days—find out how during your introductory interview.
- Team events: Regular events such as the company fun run, team walk, summer party, and Christmas party for a bit of fun along the way.
- Team structure: Working in cross-functional teams rather than rigid departments promotes flexibility and productivity.
- Health and wellness: Exercise makes you happy—and even more so as part of a team. We subsidize sports activities such as yoga, soccer, or badminton, as well as your company bike.
- Dog-friendly office: Well-socialized dogs are welcome, provided consideration is shown for all team members.
Benefits
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
fuseki GmbH is a software and data company based in Essen. It focuses on complex, data-driven systems, particularly in the areas of data science, artificial intelligence, big data, and analytics. The company primarily serves clients from the industrial sector as well as the energy and water industries.
- Established Company
- Hybrid, Onsite
- Internet, IT, Telecommunication
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