Our partner is looking for a Product Data Scientist SaaS based in Spain. We are seeking an experienced Product Data Scientist to drive data-informed decision-making and experimentation across multiple international SaaS products. In this role, you will transform complex datasets into actionable insights, helping teams understand customer behavior, optimize product performance, and accelerate business growth. You will take a leading role in strengthening A/B testing practices, designing robust experiments, and measuring the real impact of product and marketing initiatives. Working closely with Data, Product, Marketing, Payments, and executive teams, you will influence strategic decisions throughout the entire customer journey. You will also explore customer lifetime value, acquisition efficiency, payment performance, and retention opportunities. This is a hands‐on, business‐oriented opportunity to build and shape product data science practices in a fast‐growing, fully remote international environment. Review and challenge existing A/B testing processes, identify methodological limitations, and recommend improvements to strengthen experimentation practices. Develop and implement a robust experimentation framework covering hypothesis formulation, metric selection, statistical power calculations, test duration, and decision‐making criteria. Analyze data throughout the customer journey, including acquisition, conversion, product usage, payments, and retention, to identify growth opportunities and revenue drivers. Collaborate with Payment teams to analyze transaction performance, investigate payment‐related risks, and design experiments to improve payment success rates. Evaluate customer value across different cohorts, acquisition channels, products, and customer segments,



taking data maturity into account. Work with Data Engineering specialists to improve the use of customer value signals within advertising platforms and measure the impact of these optimizations. Collaborate with Data Analysts and Data Engineers to improve data reliability, ensure consistency, and establish shared definitions for key business metrics. Between 3 and 5 years of professional experience in Product Data Science, Growth Data Science, or a comparable analytical role. Previous experience working with high‐traffic digital products or large datasets, preferably in SaaS, subscription‐based businesses, e-commerce, or similar environments. Hands‐on experience designing, implementing, and analyzing experiments, with demonstrated success using data to improve product performance or business outcomes. Strong statistical and inferential knowledge, with the ability to select appropriate analytical methods based on the business question and available data. Practical expertise in experimental design and analysis, including hypothesis formulation, statistical power calculations, multiple testing, metric selection, and cohort maturity. Advanced SQL skills and proficiency in Python for data analysis, statistical modeling, and experimentation. Strong understanding of product analytics, including conversion funnels, cohort analysis, customer retention, and customer lifetime value. Experience working with data warehouses and product analytics platforms. Familiarity with payment service provider data, advertising platforms, and marketing analytics is considered a plus. Fluency in French is required, as it is the primary working language. English proficiency at B2 level or higher is required, as English is the secondary working language and will be assessed during the recruitment process. #

📌 Data Scientist (Ceuta)
🏢 Jobgether
📍 Ceuta