Data Scientist - Machine Learning at Catawiki | Amsterdam, NL | Rezi

Data Scientist - Machine Learning at Catawiki

Data Scientist - Machine Learning

Catawiki · Amsterdam, NL

1 weeks ago

Data Scientist - Machine Learning

Catawiki · Amsterdam, NL

12 days ago
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About the Role

As a Machine Learning Data Scientist in the Data Team at Catawiki, you will focus on delivering scalable and impactful data products. You’ll work closely with our product and development teams while implementing your work. The Data Team's mission is to build the best Catawiki possible by using data smartly, creating business value through scalable, robust models and actionable insights.

Responsibilities

  • Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code.
  • Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle real-world business problems.
  • Being pragmatic when needed but also able to go deep into a problem, applying expert knowledge of machine learning techniques.
  • Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML.
  • Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions.

Requirements

  • All-around data scientist with 3+ years of experience who is comfortable diving into model implementation and discussing new ML opportunities with stakeholders.
  • Understand and apply standard and widespread ML techniques with little support.
  • Strong quantitative background (statistics, ML, sciences, etc.).
  • Fluent in Python and capable with SQL.
  • Deployed ML models in production serving real-time responses on a large scale.
  • Able to effectively communicate about models to a non-tech-savvy audience.
  • Demonstrable experience in building robust data products that created value for the company.
  • Experience with Google cloud platform, Kubernetes, Git, CI/CD, Recommender systems, PyTorch, Kafka, nginx is a plus.
  • Experience working on developing ML products for online marketplaces / ecommerce platforms is a plus.
  • An entrepreneurial mindset that enables you to get things done, even if that requires actions outside your own area or comfort zone.
  • Proven ability to extract meaning from very big datasets with little engineering support.

Skills

  • Machine Learning
  • Data Science
  • Python
  • SQL
  • Kubernetes
  • Google Cloud Platform
  • Git
  • CI/CD
  • Recommender Systems
  • PyTorch
  • Kafka
  • nginx

Location

  • Amsterdam

Work Type

  • Hybrid

Experience Level

  • 3+ years

Benefits

  • Excellent relocation package
  • €100 Catavoucher upon joining
  • €50 Catavoucher on birthday
  • Extra day off per year to 'Pursue Your Passion'
  • Additional leave for key work anniversaries and important life events
  • Learning & Development initiatives
  • Clear development plans
  • Mentorship programmes

About the Company

  • Catawiki is a unique marketplace for buying and selling special objects, with over 100,000 unique items auctioned weekly.
  • Our mission is to become the world’s most popular destination for special objects.
  • We are a growing, diverse, and sustainable scale-up.
  • Our core values are: Taking ownership and driving impact, Being open to change and feedback, Being passionate about our mission and our customers.
  • The Data Team covers the full data spectrum of Machine Learning, Analysis and Data Engineering.
  • We are builders, thinkers and talkers who collaborate closely with every department to create value for our customers.
  • We have vibrant offices in Amsterdam and Lisbon designed to inspire collaboration.
  • We are a passionate, diverse team of 800+ Catawikians representing 60+ nationalities.
  • We foster an inclusive and queer-friendly environment.

Equal Opportunity

  • We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work.