Senior Product Data Scientist - SaaS (Remote Europe)

AItoolnavio; Netherlands; Remote; EUR 70,000 - 110,000; Full time

Benefits offered by this job

100% remote across Europe

Monthly coworking budget €200

Equipment budget

Job summary

AItoolnavio is seeking a Product Data Scientist to drive data-informed decisions across international SaaS products. You will lead experimentation, analyze complex datasets, and communicate insights to Product, Marketing, Payments, and exec teams while shaping data science practices in a fully remote, multi-country environment.

The role requires 3–5 years of relevant experience, strong SQL and Python skills, and a solid understanding of product analytics, funnels, and LTV metrics.

Qualifications

• 3–5 years of professional experience in Product Data Science or similar analytical role.
• Experience with high-traffic digital products or SaaS is preferred.
• Hands-on experience designing, implementing, and analyzing experiments with data-driven outcomes.
• Strong statistical and inferential knowledge; ability to select appropriate methods.

Responsibilities

• Review and improve A/B testing processes and experimentation framework.
• Design, review, and validate experiment plans with Product and business teams.
• Analyze experiments, interpret results, and communicate uncertainties and next steps.
• Improve experimentation methodologies and analytical tools across teams.
• Analyze customer journey data to identify growth opportunities and revenue drivers.
• Collaborate with Payment teams to analyze transaction performance and risks.

Skills

SQL

Python

Experiment design

A/B testing

Data analysis

Tools

Data warehouses

Analytics platforms

Advertising platforms

Job description

AItoolnavio is seeking a Product Data Scientist to drive data-informed decisions across international SaaS products. You will lead experimentation, analyze complex datasets, and communicate insights to Product, Marketing, Payments, and exec teams while shaping data science practices in a fully remote, multi-country environment.

The role requires 3–5 years of relevant experience, strong SQL and Python skills, and a solid understanding of product analytics, funnels, and LTV metrics.