Senior Data Scientist (Machine Learning)

TL;DR

Senior Data Scientist (Machine Learning): Building and deploying scalable, production-ready ML models for a specialized global marketplace with an accent on real-time and batch predictions. Focus on identifying new ML opportunities from extensive web/mobile data and optimizing user experience through advanced statistics and scalable code.

Location: Based in Amsterdam (Hybrid: min 2 days/week in office) or Remote from France, Germany, Belgium, Italy, Spain, or the UK. Relocation to the Netherlands is available.

Company

An international marketplace for buying and selling special objects, operating as a sustainable scale-up.

What you will do

• Build production-ready ML models using robust and scalable code.
• Identify and tackle real-world business problems by exploring mobile and web data.
• Collaborate with product owners, developers, UX designers, and business analysts to find new ML use cases.
• Deploy scalable models using Kubernetes on cloud infrastructure for real-time, asynchronous, and batch predictions.

Requirements

• 5+ years of experience as an all-around Data Scientist.
• Strong quantitative background in statistics, ML, or sciences.
• Fluency in Python and proficiency in SQL.
• Proven experience deploying large-scale ML models serving real-time responses.
• Ability to guide and mentor other team members with technical advice.

Nice to have

• Experience with PyTorch, TensorFlow, LightFM, Git, Docker, or Kubernetes.
• Familiarity with Google BigQuery, MySQL, Spark, Airflow, Kafka, nginx, or CI/CD.
• Entrepreneurial mindset and ability to work independently with large datasets.

Culture & Benefits

• Attractive stock options package.
• Diverse, international environment with 50+ nationalities.
• Personal and professional growth through tailor-made trainings and mentorship.
• Comprehensive benefits including paid holidays, holiday allowance, and a pension plan.
• Active company culture with an Activity Committee and "Pursue Your Passion" day off.