Senior Data Scientist (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (Machine Learning): Building and deploying production-ready ML models and scalable data products for a unique global marketplace with an accent on real-time predictions and advanced statistics. Focus on implementing robust code for large-scale data processing and collaborating with cross-disciplinary teams to identify new ML use cases.
Location: Hybrid in Lisbon, Portugal (minimum 2 days a week in the office)
Company
A unique global marketplace for buying and selling exceptional, curated objects.
What you will do
- Build production-ready ML models using robust and scalable code.
- Explore mobile and web data to identify and solve real-world business problems.
- Collaborate with product owners, developers, and UX designers to identify new ML use cases.
- Deploy scalable models using Kubernetes on cloud infrastructure for real-time and batch predictions.
- Provide guidance and mentorship to other team members to unblock them and introduce new techniques.
Requirements
- 5+ years of experience as an all-around data scientist.
- Strong quantitative background in statistics, ML, or sciences.
- Proficiency in Python and SQL.
- Proven experience deploying ML models serving real-time responses at scale.
- Must be based in or be able to work from Lisbon, Portugal (Hybrid).
Nice to have
- Experience with PyTorch, Tensorflow, LightFM, or Spark.
- Knowledge of Docker, Kubernetes, Google BigQuery, Airflow, or Kafka.
- Ability to extract insights from very large datasets with minimal engineering support.
- Entrepreneurial mindset.
Culture & Benefits
- Flat organizational structure with high individual impact and broad scope.
- L&D initiatives including mentorship and clear development plans.
- Inclusive, diverse, and queer-friendly work environment with colleagues from 60+ nationalities.
- Unique perks like "Pursue Your Passion" day off and anniversary leave.
- Joining and birthday vouchers.
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