Staff Data Scientist - Experience

What You'll Do • Lead analyses across user behavior and content data to shape product and strategy decisions.

• Shape how we evaluate and improve content classification and taxonomy, with a particular focus on safety, combining analytical depth with a broader view of product and business needs.

• Design evaluation frameworks, including sampling strategies, setting baselines, metrics, and annotation-based approaches, and guide how these methods are applied across the team.

• Build scalable analytical foundations, including metrics, dashboards, and the data and context needed to enable effective self-serve analysis and agents.

• Partner with Product, Engineering, and Operations leadership to shape priorities and how data informs product strategy.

• Raise the analytical bar across Product Insights through methodological leadership, mentorship, and by identifying opportunities to improve how we work with data across domains.

Who You Are • You have deep experience as a product data scientist and have operated at Staff level or equivalent.

• You have a strong foundation in statistics and experience designing evaluation and measurement approaches, including annotation-based methods and settings where controlled experiments are not feasible.

• You have experience in building metrics and reporting systems that support product or policy decision-making.

• You have built self-serve analytical tools or data agents that enable others to answer questions effectively.

• You are proficient in SQL and experienced with Python, DBT, or similar tools for building and maintaining reliable analytical datasets

• You leverage state of the art LLM models to do your analysis while ensuring quality and accuracy in the output

• You communicate clearly across functions, influence decisions with senior stakeholders, and help raise analytical standards through mentorship and methodological leadership.

• You have experience working on content classification, taxonomy, safety, policy, or adjacent domains where data quality and judgment are important to product decisions.

Where You'll Be • This role is based in Stockholm or London.

• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.