Data Scientist - Machine Learning

Catawiki; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

€100 Catavoucher on joining

€50 Catavoucher on birthday

Extra day off yearly

Job summary

Catawiki is seeking a Data Scientist - Machine Learning to help build scalable data products for our auction marketplace based in Amsterdam. You will work with the Data Team on ML-driven insights, recommendations, and risk models that power our platform and support millions of users.

In this hybrid role, you’ll collaborate with product, engineering, and analytics peers to deliver production-ready ML solutions, deploy models with Kubernetes on cloud, and communicate findings to both technical and

Qualifications

• You are an all-around data scientist with 3+ years of experience who is as comfortable diving into the internals of a model implementation as discussing new opportunities for ML with product stakeholders.
• You understand and apply standard and widespread ML techniques in your area with little support.
• You have a strong quantitative background in statistics, machine learning, sciences, or similar fields.
• You are fluent in Python and capable with SQL.
• You have deployed ML models in production serving real-time responses at large scale.
• You are able to effectively communicate about your models to a non-technical audience.
• You have demonstrable experience in building robust data products that created value for the company you worked for.

Responsibilities

• Build production-ready models applying ML and statistics to our product.
• Explore data to identify ML opportunities and apply statistics to business problems.
• Balance practical and deep ML analysis with expert techniques.
• Collaborate with product, dev, designers, and analysts to identify ML improvements.
• Deploy scalable models on cloud with Kubernetes for real-time and batch predictions.

Skills

Python

SQL

Production ML

Communication

Statistics

ML Deployment

Stakeholder comms

Tools

Kubernetes

Git

CI/CD

PyTorch

Kafka

GCP

Job description

Join Catawiki as a Data Scientist - Machine Learning and help build scalable, impactful data products for a marketplace where tens of thousands of items are auctioned every day.

Catawiki is a marketplace for buying and selling special objects. The platform generates vast amounts of data from active auctions, bids, users, and events, which are used to generate business insights, power machine learning models, enhance user experience, optimize workflows, and keep the platform safe.

The Data Team covers the full data spectrum of Machine Learning, Analysis and Data Engineering.

Your Mission

With tens of thousands of active items on auction every day, hundreds of thousands of bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect this data centrally and use it to generate business insights, as well as power machine learning models that enhance our user experience, optimize our workflows, and keep our platform safe. We believe in creating flexible models that can be applied to a variety of use cases, and in experimentation and iteration to hit the ground running and continually improve the tools we build.

Why

We believe that by using data in a smart way, we can build the best Catawiki possible. We want to have impact and see opportunities everywhere.

How

We are builders, thinkers and talkers. We collaborate closely with every department to create value for our customers. We think big and hold ourselves to high standards, because our work really matters for the future of the company.

What

As a result, we create business value by delivering scalable, robust models and actionable insights and predictions. We help the company find opportunities and understand success, and we empower everyone to use data to be successful.

What You'll Do

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 product and development teams while implementing your work. This includes:

• 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 while also able to go deep into a problem, applying your expert knowledge of machine learning techniques.
• Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts to identify improvements and new use cases for ML.
• Deploying scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions.

What You'll Bring

• You are an all-around data scientist with 3+ years of experience who is as comfortable diving into the internals of a model implementation as discussing new opportunities for ML with product stakeholders.
• You understand and apply standard and widespread ML techniques in your area with little support.
• You have a strong quantitative background in statistics, machine learning, sciences, or similar fields.
• You are fluent in Python and capable with SQL.
• You have deployed ML models in production serving real-time responses at large scale.
• You are able to effectively communicate about your models to a non-technical audience.
• You have demonstrable experience in building robust data products that created value for the company you worked for.

The following are a plus:

• Experience with one or more of the following: Google Cloud Platform, Kubernetes, Git, CI/CD, recommender systems, PyTorch, Kafka, nginx.
• Experience developing ML products for online marketplaces or ecommerce platforms.
• 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 large datasets with little engineering support.

Why You'll Love Working with Us

• Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business.
• Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression.
• Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to "Pursue Your Passion". We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location.

Our Offices and Way of Working

Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based.

We’re continually incorporating hybrid elements, while employees choose how they split their work between the office and home.