Job
In this role, you develop data-driven solutions, analyze and model data with machine learning, and implement them into production applications using Python and open-source tools.
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Job technologies
Your role in the team
- You take on a broad range of tasks related to data-driven solutions - from requirements gathering, analysis, and modeling to implementation in production applications.
- You analyze data, develop statistical procedures and machine learning models, and evaluate them using appropriate metrics and validation approaches.
- You are responsible for the conception and implementation of the Data Science components in client projects and work in agile, interdisciplinary teams across various industries and scenarios.
- You implement data science solutions as software: structured code, version control, reviews/tests, and reproducible execution - not just in notebooks.
- You support the operationalization of data-driven solutions (e.g., as a service/API, batch job, or pipeline) and work on reliable data provisioning as well as managing emerging 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 accurately and appropriately tailored to the target audience, whether technical or non-technical stakeholders.
Our expectations of you
Education
- Completed degree in Statistics, Mathematics, Computer Science, Natural Sciences, or a related field (PhD welcome but not required).
Qualifications
- Excellent knowledge of Python and the modern open-source data science stack (e.g., pandas, numpy, scikit-learn).
- Basic knowledge or willingness to familiarize yourself with or expand your skills in topics such as SQL, messaging/streaming (e.g., Kafka, MQTT), time series/SQL databases, as well as cloud/container orchestration (e.g., Kubernetes).
- Excellent German and English skills, both written and spoken, as well as the ability to communicate complex content clearly.
Experience
- Several years of practical experience in data science / ML projects, including implementation and production-ready deployment of models.
- Experience in software development in the data environment (clean code structure, Git, basic testing/review practices).
- Practical experience with Docker and reproducible development and runtime environments.
What we offer
- Hybrid work model: 40% office presence at our locations in Essen or Bremen, with flexible arrangements depending on the place of residence.
- Flexible working hours: Shape your workday independently and tailored to your life situation.
- Corporate Culture: Appreciative collaboration and continuous learning are at the heart of what we do.
- Structured onboarding: A personal mentoring program supports you during your onboarding.
- 30+ vacation days: We reward your loyalty with additional days off - how, you will find out in the introductory interview.
- Team events: Regular activities such as company run, team walk, summer party, and Christmas party for fun alongside work.
- Team structure: Working in cross-functional teams instead of rigid departments promotes flexibility and productivity.
- Health Promotion: Movement makes you happy, and even more so in a team. We subsidize sports activities such as yoga, football, or badminton, as well as your job bike.
- Dog-friendly office: Well-socialized dogs are welcome here - with consideration 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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