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2 дня назад

Data Scientist (ML)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (ML): Building and deploying production machine learning models to personalize meal experiences and optimize forecasting with an accent on time-series modeling and recommender systems. Focus on owning the full lifecycle from experimentation to production monitoring and driving measurable business outcomes.

Location: Must be based in Portugal, with regular collaboration at the Lisbon office.

Company

hirify.global creates flexible, high-quality food experiences through data-driven systems that improve customer preferences and reduce food waste.

What you will do

  • Build and improve recommendation and personalization models for meal and recipe discovery.
  • Develop time-series forecasting models to improve demand prediction and logistics.
  • Support retention and marketing initiatives through churn prediction and lifetime value modeling.
  • Design and analyze A/B tests using robust statistical methods.
  • Take models from exploration through validation, deployment, and production monitoring.
  • Contribute to code reviews and knowledge sharing within the Data Tribe.

Requirements

  • Around 3+ years of experience in applied data science.
  • Strong foundations in machine learning, statistics, and time-series modeling.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with scikit-learn, PyTorch, and XGBoost.
  • Experience with modern data platforms like Snowflake, Looker, and Airflow.
  • Ability to explain complex technical concepts to non-technical stakeholders.

Nice to have

  • Experience in subscription, e-commerce, or consumer-product environments.
  • Prior work in personalization, recommendations, or generative AI.
  • Experience working in Agile, cross-functional product teams.

Culture & Benefits

  • Hybrid work policy with regular in-person collaboration.
  • 22 annual leave days plus tenure-based increases.
  • 5 training days per year.
  • Private health insurance provided by Tranquilidade.
  • Food allowance via Coverflex.
  • 24/7 confidential employee assistance program.

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