Manager, Data Science (Product Analytics)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Science (Product Analytics) in Denmark.

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.

• 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

• Proven experience managing a team of data scientists in a fast-paced product environment
• Strong expertise in experimental design, statistical analysis, and quantitative methods applied to large-scale user or audience data
• Hands-on experience collaborating with product teams to analyze and evaluate features and user behavior
• Familiarity 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 stakeholders
• High emotional intelligence, mentorship ability, and a collaborative leadership style
• Curiosity, critical thinking, and ability to navigate ambiguity and complex environments
• Commitment to equity, inclusion, and ethical data practices; prior experience in open-source or collaborative projects a plus

• Competitive salary, adjusted for location and experience
• Flexible remote work with opportunities for periodic offsites and conferences
• Comprehensive health coverage including medical, dental, and vision options
• Generous vacation and leave policies, including paid parental leave
• Professional development support and mentorship opportunities
• Access to advanced analytics tools, infrastructure, and open-source resources
• Inclusive and mission-driven work culture that values collaboration and continuous learning

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

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.

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