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9 дней назад

Data Scientist (Recommendation Systems)

Формат работы
remote (только Germany)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (Recommendation Systems) (Machine Learning/Python): Improving product recommendations across an e-pharmacy webshop and app with an accent on recommendation modeling, feature engineering, and experimentation. Focus on designing A/B tests, productionizing models, and optimizing recommendation quality, scalability, and maintainability.

Location: Cologne, Germany; remote work is possible. Up to 20 work-from-home days per year can be taken anywhere in the EU.

Company

hirify.global operates a European e-pharmacy focused on helping customers discover and purchase health products through its webshop and app.

What you will do

  • Improve product recommendation widgets by analysing customer behaviour and product data.
  • Develop recommendation models using feature engineering and machine learning approaches such as collaborative filtering, ranking models, and embeddings.
  • Lead end-to-end data science initiatives from exploration and experimentation through productionization, monitoring, and continuous improvement.
  • Design and analyse A/B tests, define success metrics and guardrails, assess statistical uncertainty, and communicate recommendations.
  • Work cross-functionally with Product Managers, ML Engineers, Data Engineers, MLOps, and domain experts.

Requirements

  • Practical experience developing machine learning models, including data preparation, feature engineering, modelling, and evaluation.
  • Strong Python and SQL skills, with familiarity with Git, testing, and reproducible development.
  • Understanding of production model development, reproducible training, reliable data pipelines, and scalability and maintainability trade-offs.
  • Practical expertise in A/B testing and experimental design, including metric selection, statistical power, and result interpretation.
  • Solid understanding of recommendation systems and relevant machine learning methods.
  • Ability to work iteratively in a cross-functional product environment and translate business goals into practical solutions.

Culture & Benefits

  • Flexible work-from-home arrangements where the role does not require office presence.
  • Up to 20 days per year working anywhere in the EU.
  • 30 days of paid vacation per year plus an additional day for Rosenmontag.
  • Optional unpaid vacation of up to 10 days after one year of employment.
  • Training, development opportunities, Urban Sports Club membership, and team events.

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