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This job expired on 29/08/2026. It no longer accepts applications.

Data Scientist – Machine Learning & Personalization

Jobgether

Remote
Remote Mid 🇬🇧 English
Python pandas NumPy scikit-learn SQL AWS GCP Azure

Job description

About the role

We are looking for a Data Scientist to join a fast‑paced, product‑driven team in Germany. In this role you will design, develop and deploy machine‑learning systems that power personalization, search and recommendation features for a global user base. You will work closely with product and engineering colleagues to turn data insights into production‑ready solutions.

Key responsibilities

  • Develop, implement and productionize ML models that improve personalization, search ranking and recommendation systems.
  • Design data‑driven algorithms to enhance user experience and drive measurable engagement and conversion improvements.
  • Apply advanced statistical and data‑mining techniques to large‑scale datasets.
  • Collaborate with engineering and product teams to integrate models into scalable production systems.
  • Monitor model performance, iterate based on real‑world data and business feedback.
  • Translate business problems into analytical and ML solutions aligned with key performance indicators.
  • Work with cloud infrastructure and data pipelines to support end‑to‑end ML workflows.
  • Contribute to A/B testing frameworks to validate model effectiveness.

Required profile

  • Minimum 2 years of experience as a Data Scientist, Quantitative Analyst or similar role.
  • Bachelor’s or Master’s degree in a quantitative field such as Applied Mathematics, Computer Science, Engineering or Financial Engineering.
  • Strong communication skills with the ability to explain technical concepts to non‑technical stakeholders.
  • Comfortable working in a fast‑paced, product‑oriented environment.

Required skills

  • Python programming.
  • Pandas, NumPy, scikit‑learn (or equivalent libraries).
  • SQL and relational database experience.
  • Experience with cloud platforms – AWS, GCP or Microsoft Azure.

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Published 3 months ago

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