At Storytel we believe that powerful stories add an extra dimension to life. Storytel is one of the world’s leading audiobook and ebook streaming services that offers unlimited listening to consumers in 25+ markets. Our vision is to make the world a more empathetic place with great stories to be shared and enjoyed by anyone, anywhere, anytime. We are now looking for a Data Scientist to join our Machine Learning team.

About the team

Storytel is looking for a Data Scientist to join our Machine Learning team within the Data Science & Engineering domain. You will work on a diverse set of high-impact projects focused on customer engagement, automated content curation and personalized recommendations. As a key member of the team, you will contribute to designing and building models that enhance how our users interact with our platform, deepening their connection to stories from around the globe. Your insights will help shape our strategies to drive engagement and optimize user experiences.

As a Data Scientist at Storytel, you will:

• Join a centralized Machine Learning team within our larger Engineering organization, working on strategic initiatives to drive customer engagement and retention.

• Develop and optimize end-to-end machine learning models that will have a high impact on the end user and our decision making processes.

• Partner closely with the Data Engineering and MLOps teams to ensure smooth deployment, scalability and robustness of machine learning systems.

• Collaborate with commercial stakeholders to navigate complex requirements, design experiments, measure model performance, and shape data-driven strategies to enhance customer engagement.

• Leverage your machine learning expertise to contribute to the advancement of Storytel’s technical ecosystem, including new model development, MLOps frameworks and scalable data pipelines.

• Engage in ML community meetings, journal clubs, and peer learning activities to stay at the forefront of industry trends, share insights, and strengthen the team’s collective expertise.

About you

To thrive in this role, we believe that you are a passionate individual who is knowledgeable in customer engagement models and AI technologies. You are an independent thinker who can collaborate effectively with diverse teams and communicate complex ideas clearly. Additionally, you are proactive in educating stakeholders about the value of data-driven solutions and are collaborative by nature.

You also have the following experience: 

• An advanced degree (MS/PhD) in Computer Science, Statistics, Mathematics, or related fields-

• 3+ years of professional experience in data science or machine learning roles-

• Significant breadth and depth of statistics/ML knowledge.

• Proven experience building customer engagement models (e.g., churn prediction, customer lifetime value, and customer segmentation).

• Proficiency in Python and SQL, with experience using version control systems (ex: GitHub).

• Experience presenting your work to non-technical stakeholders, translating complex ideas into actionable insights.

Bonus qualifications:

• Familiarity with cloud-native technologies and/or the Google Cloud Platform.

• Hands-on experience with model deployment and a solid understanding of MLOps best practices.

• Strong knowledge of experimental design and A/B testing methodologies.

Why you should apply

• High-Impact Projects: Contribute to high-impact projects, including customer lifetime value and personalized content recommendations.

• Cross-Functional Influence: Partner closely with Marketing, Engineering and Product teams to develop models that guide critical business decisions.

• Shape the Future: Be a part of a mission-driven team that directly influences how people connect with stories worldwide.

What we offer

Storytel offers a friendly, entrepreneurial and fast-moving work environment where new ideas and creativity are welcomed. At Storytel we trust our employees and believe in their autonomy. We believe in doing things in new ways and questioning old methods. The Storytel culture - characterized by being welcoming and helpful - is important to us. We value individual responsibility and having people grow alongside their peers.

We offer flexible working hours, opportunities for continuous learning and development, remote working possibilities, and flexible public holidays so you can celebrate what you truly believe in. The ideal candidate will be located in Stockholm, Sweden or Copenhagen, Denmark. We also welcome fully remote candidates within the EU for the right profile.