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Data Scientist; w​/m​/d; Curious Minds and Clever Solutions

in 10115, Berlin, Berlin, Deutschland
Unternehmen: eClear AG
Vollzeit position
Verfasst am 2026-10-22
Berufliche Spezialisierung:
  • Software Entwicklung
    Künstliche Intelligenz Ingenieur, Maschinelles Lernen
Gehalts-/Lohnspanne oder Branchenbenchmark: 90000 - 130000 EUR pro Jahr EUR 90000.00 130000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Data Scientist (w/m/d) - For Curious Minds and Clever Solutions
Your role

On your way to work, you notice patterns everywhere. You enjoy asking questions, uncovering insights, and turning complex data into meaningful solutions. When others see numbers, you see opportunities to drive better decisions, improve processes, and create real business impact.

  • Help shaping the architecture and long-term strategy of our AI platform, including the use of LLMs, RAG pipelines, and Agentic AI.
  • Design, build and deploy AI solutions that improve product data intelligence, from auto-tagging and attribute extraction to content generation.
  • Architect multi-agent systems that orchestrate specialized AI agents across complex, multi-step workflows.
  • Design, build, and maintain robust data pipelines and processing workflows for both structured and unstructured product data.
  • Optimize system performance and scalability while maintaining high code quality.
Your profile
  • You hold a Master's degree in Data Science, Computer Science, or a related field.
  • 5 years of hands‑on experience in building and deploying production‑grade AI solutions using Python.
  • Strong expertise in traditional machine learning combined with hands‑on experience in modern LLM‑based solutions.
  • Solid knowledge of relational and vector databases, such as PostgreSQL and pgvector.
  • Proven experience in setting up and operating open‑weight LLMs (e.g., Llama, Mistral), including inference optimization.
  • A practical, solution‑oriented mindset with the ability to translate complex data challenges into scalable AI solutions.
  • Familiarity with AWS, REST APIs, microservices and MLOps practices (monitoring, CI/CD, Docker) is a plus.
  • A proactive, solution‑oriented mindset, strong communication skills, and comfort working in dynamic environments (German B2 level required).
Der Recruiting-Prozess

Our interview process is designed to be simple, personal, and a little bit fun, so we can get to know each other naturally.

It kicks off with a short, relaxed phone chat (about 15--20 minutes) just enough to exchange first impressions and spark curiosity. Next, you'll hop on a video call via MS Teams with someone from the team, where you can dive deeper, ask questions, and see how we collaborate day-to-day.

The final step is the most exciting: we invite you to our office! Here, you'll try a small, hands‑on case study don't worry, it's not a test, just a playful way for us to show how we work and for you to get a real feel of our world.

Finally, we'll make a decision promptly openly, thoughtfully, and with a smile.

Why us?

Our office is based in Berlin-Mitte, with a flexible hybrid work model in place. You'll be fully equipped from day one with everything you need to do your best work

We offer you a varied and challenging job in a dynamically growing company with great personal development potential. In addition to flexible working hours, we offer a modern workplace (mobile) with the freedom to help shape your own area of responsibility. Of course, you will receive an attractive compensation package and 30 days of vacation.

Our work culture is characterized by transparency, respect and personal responsibility. As an employer, we stand for all kinds of diversity - including diversity of minds, experiences and styles. We believe that a diverse workforce drives innovation and promote an inclusive workplace where all colleagues are valued and given the opportunity to fulfill their full potential.

We consider all qualified applicants for employment at eClear, regardless of race or national origin, religion or belief, gender or gender identity, sexual orientation, age or marital status. In the case of equal suitability, applicants with a severe disability will be given preference.

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