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# Data Scientist

- **Company:** Preply Inc.
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Data Visualization, Python (Programming Language), Machine Learning, Power BI, Mixpanel, SQL Databases, Tableau (Software), Data Analytics, Amplitude Analytics, Heap (Data Structure), Looker Analytics, Programming Languages
- **Published:** July 20, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Experience in data analytics working with product teams, experimenting and uncovering opportunities for product optimization.
 + Experience designing and analyzing A/B tests with a strong grasp of relevant statistical concepts.
 + Strong understanding of data analysis concepts such as conversion, LTV, cohort analysis, retention, etc.
 + Proficiency in one or more programming languages (e.g., SQL, Python), with the ability to write efficient and scalable code.
 + Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.
 + Ability to craft compelling stories with data and communicate complex insights in a clear and engaging way, driving change among diverse stakeholders.
 + Interest in the bigger picture, feeling excited to impact the product roadmap and strategy., + Background in 2-sided marketplaces or digital businesses (B2B, B2C, B2B2C).
 + Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap).
 + Familiarity with machine learning techniques and how they can be applied to enhance user behavior predictions or product recommendations.
 + Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).
 + Master's degree or PhD in a quantitative field.
 + Previous experience in mentoring or coaching others.

## Description

+ Develop a deep understanding of the dynamics of our product, including user behavior and the economics of Preply's marketplace.
 + Focus on the continuous improvement of our platform by gathering and analyzing data to uncover valuable insights that will shape product evolution and strategy.
 + Analyze customer behavior and product usage, improve our understanding of what drives retention and effectively communicate findings to both technical and non-technical stakeholders to drive informed decision-making.
 + Quantify and model the impact of new product features and initiatives, identifying growth opportunities and contributing to the prioritization of our product roadmap.
 + Help define key performance indicators, tracking events, and engagement metrics that align with business goals and product improvements.
 + Design, execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.
 + Build strong relationships with data and technical leaders to foster collaboration and drive cross-team initiatives.


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