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# Manager, Data Science (Product Analytics)

- **Company:** Tipo De
- **Location:** Madrid, Spain (Remote available)
- **Salary:** €60,000.0 - €90,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Information Engineering, Data Infrastructure, Data Visualization, Apache Hadoop, Apache Hive, Open Source Technology, Usage Analysis, Apache Spark, Data Analytics, Data Management, Presto, Tools for Reporting
- **Published:** July 21, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

Requirements:Proven experience managing a team of data scientists in a fast-paced product environmentStrong expertise in experimental design, statistical analysis, and quantitative methods applied to large-scale user or audience dataHands-on experience collaborating with product teams to analyze and evaluate features and user behaviorFamiliarity with large-scale data processing and storage tools (e.g., Hadoop, Hive, Presto, Spark)Excellent communication skills, with the ability to clearly convey insights and recommendations to diverse stakeholdersHigh emotional intelligence, mentorship ability, and a collaborative leadership styleCuriosity, critical thinking, and ability to navigate ambiguity and complex environmentsCommitment to equity, inclusion, and ethical data practices; prior experience in open-source or collaborative projects a plusBenefits:Competitive salary, adjusted for location and experienceFlexible remote work with opportunities for periodic offsites and

## Description

Inscribirse en esta oferta This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Science (Product Analytics) in Spain.In this role, you will lead a team of data scientists focused on product analytics, providing actionable insights that guide product strategy, inform decision-making, and measure the impact of new features. You will collaborate closely with product managers, designers, engineers, and cross-functional stakeholders to ensure data-driven decision-making across teams. Your responsibilities include managing delivery timelines, ensuring data quality, and developing accessible data products and reporting tools. You will mentor and develop team members, fostering a culture of collaboration, critical thinking, and data-informed storytelling. Operating in a fast-paced, remote environment, your work will directly influence product development, experimentation, and strategy. This role offers the opportunity to shape
analytics practices, drive meaningful insights, and impact both users and organizational outcomes.Accountabilities:

 + Lead and manage a team of data scientists, overseeing timely delivery of accurate and actionable insights
 + Partner with product teams to inform strategy, guide feature development, and assess impact through experimentation and analysis
 + Develop and maintain data products, dashboards, and visualization tools to make insights accessible across the organization
 + Establish shared processes for data collection, reporting, and quality assurance
 + Mentor team members on technical skills, critical thinking, and data-informed storytelling
 + Collaborate with Experiment Platform and Data Engineering teams to ensure scalable and robust data infrastructure
 + Promote a culture of collaboration, inclusion, and continuous improvement within the analytics team, Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.Inscribirse en esta oferta
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