Senior Data Scientist – Product Insights, Impact at Scale

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

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.