Data Scientist • Entry-Level

Who you are

You are an entry-level data scientist with a strong foundation in Python and machine learning — you understand how to analyze data and derive insights that can drive business decisions. You have a keen interest in user behavior and are motivated to tackle challenges related to fraud detection and prevention.

You thrive in collaborative environments, working alongside cross-functional teams of data scientists and machine learning engineers — you enjoy experimenting with different approaches and iterating on solutions to improve outcomes. Your analytical mindset allows you to approach problems methodically, ensuring that your solutions are both effective and efficient.

What you'll do

As a Data Scientist I at Spotify, you will join the User Fraud R&D Studio, where your primary mission will be to protect the platform from unwanted behavior — you will develop and implement data science and machine learning solutions that detect fake account creation and artificial streaming activity. You will analyze user behavior patterns to identify anomalies and contribute to the continuous improvement of fraud prevention strategies.

You will collaborate closely with your team to experiment with new ideas and iterate on existing solutions — your work will directly impact Spotify's ability to maintain a secure and trustworthy platform for its users. You will also have the opportunity to present your findings and insights to stakeholders, helping to inform decision-making across the organization.

What we offer

Spotify provides a dynamic work environment where innovation is encouraged — you will have access to the latest tools and technologies to support your work. The company values collaboration and offers opportunities for professional growth and development, ensuring that you can advance your career while making a meaningful impact on the business.

You will be part of a diverse team that is passionate about using data to drive decisions and improve user experiences — we encourage you to apply even if your experience doesn't match every requirement, as we value curiosity and a growth mindset.