Senior Data Scientist – Product Insights — Catawiki

GizPulse; Amsterdam; Hybrid; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Catavoucher

Birthday voucher

Pursue Your Passion day off

Milestone recognition

Extra leave for life events

Job summary

Catawiki is seeking a Senior Data Scientist – Product Insights to partner with Product teams and translate vast data into actionable insights. You will build dashboards, analyze A/B tests, and uncover behavioral trends across buyer and seller journeys in a hybrid Amsterdam-based setup.

You will work with a team of data scientists and engineers to surface insights, validate features, and scale self-service data solutions.

Qualifications

• 6+ years of experience in data science or analytics, ideally at an online company.
• Strong SQL and at least one data transformation language (Python or R).
• Experience with dashboards and analytics tools (Looker Studio, Tableau, Power BI).
• Hands-on experience designing and validating measurement strategies and A/B tests.

Responsibilities

• Own analytics for a broad product area, building stakeholder relationships and identifying opportunities.
• Turn data into insights and recommendations, supporting product decisions with dashboards and reports.
• Leverage regression analysis, causal inference, and A/B testing to assess feature effectiveness.
• Enable data-driven decisions at scale by building self-service data tools and scalable pipelines.

Skills

SQL proficiency

Python/R

Looker Studio/Tableau/Power BI

dbt/Dataform

A/B testing

Causal inference

Time series modeling

Web/app analytics

Data storytelling

Tools

Looker Studio

Tableau

Power BI

dbt

Dataform

Google Analytics

Google Tag Manager

Job description

Senior Data Scientist – Product Insights – Catawiki

Role Overview

Catawiki is looking for a Senior Data Scientist – Product Insights to work with Product teams, leveraging data to identify user journey opportunities

Catawiki is a one-of-a-kind marketplace for buying and selling special objects. from a Formula 1 car to a woolly mammoth skeleton. Each week, over 75,000 unique items go to auction, curated by in-house experts, with more than 20 million objects sold to date. As a growing, diverse, sustainable scale-up, Catawiki is on a mission to become the world's most popular destination for special objects, guided by core values of ownership, openness to feedback, and passion for the mission and customers.

About the Role

With thousands of active lots daily, hundreds of thousands of daily bids, millions of users, and billions of events, Catawiki generates vast amounts of data, used extensively by a team of 19 data scientists and engineers. Catawiki is looking for a Senior Data Scientist – Product Insights to work with Product teams, leveraging data to identify user journey opportunities and measure the success of product features.

You'll be part of the Data Science Product Insights team, combining data from multiple sources to surface actionable insights and build self-service tools. The work varies day to day — building dashboards, designing and analyzing A/B tests, uncovering behavioral trends, collaborating on ML model discovery, or improving data pipeline reliability.

What You'll Do

• Own analytics for a broad product area — take full ownership of a major platform area (e.g., buyer-facing features, seller experiences, or fulfillment), building strong stakeholder relationships and proactively identifying opportunities through deep understanding of user behavior
• Turn data into insights and recommendations — define and refine key success metrics, uncover trends, and translate data into clear recommendations that shape product decisions and strategy, supported by dashboards and reports
• Leverage advanced analytics — apply regression analysis, causal inference, and A/B testing to analyze behavior and evaluate feature effectiveness
• Enable data-driven decision-making at scale — implement self-service data solutions for Product teams, and contribute to foundational work like scalable data pipelines, data accessibility, and expanding the A/B experimentation program

Who You Are

• 6+ years of experience in data science or analytics, ideally at an online company, with a strong quantitative background and experience owning complex projects
• Highly proficient in SQL and at least one language for data transformation (Python, R, etc.); comfortable with large datasets, pipeline optimization, and tools like Looker Studio, Tableau, Power BI, dbt, or Dataform
• Strong statistical expertise - regression analysis, causal inference, time series modeling, hypothesis testing
• Extensive experience with web/app analytics tools like Google Analytics and Google Tag Manager, including designing and validating measurement strategies
• Hands-on experience designing and evaluating A/B tests and other experiments with robust methodology
• A strategic problem solver who proactively identifies opportunities and influences business/product strategy through data
• Strong communicator and mentor, able to translate complex insights for leadership, engineers, and product teams, while supporting junior data scientists
• A proactive, entrepreneurial mindset: takes ownership and drives initiatives independently

Location

Amsterdam office, Netherlands. Catawiki operates a hybrid model (2 of 5 days in-office) across its Amsterdam, Paris, and Lisbon offices, unless a role is explicitly noted as fully remote or fully office-based.

Why Join Catawiki

• Visible impact: at scale a global platform serving millions of customers across 80+ categories with a flat structure and broad role scope
• Learning & growth: through L&D initiatives, development plans, and mentorship programs
• Culture of connection: 800+ Catawikians across 60+ nationalities, with an inclusive, queer-friendly environment
• Perks: €100 welcome Catavoucher, €50 birthday voucher annually, an extra "Pursue Your Passion" day off each year, milestone anniversary recognition (3/5/8/10 years), and extra leave for life events like marriage or moving house

Benefits may vary by location — confirm specifics with your recruiter.