Staff Data Scientist

Teknik, data och digitalt · Data, AI och analys · Datavetenskap

I korthet

Spotify is seeking a Staff Data Scientist in Stockholm or London to lead analyses on user behavior and content data, shaping product and strategy decisions. The role involves improving content classification and taxonomy, designing evaluation frameworks, building analytical foundations, and partnering with leadership to inform product strategy.

Ansvarsområden

  • 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.

Krav

  • Deep experience as a product data scientist and have operated at Staff level or equivalent.
  • Strong foundation in statistics and experience designing evaluation and measurement approaches, including annotation-based methods and settings where controlled experiments are not feasible.
  • Experience in building metrics and reporting systems that support product or policy decision-making.
  • Experience building self-serve analytical tools or data agents that enable others to answer questions effectively.
  • Proficient in SQL and experienced with Python, DBT, or similar tools for building and maintaining reliable analytical datasets.
  • Leverage state of the art LLM models to do your analysis while ensuring quality and accuracy in the output.
  • Communicate clearly across functions, influence decisions with senior stakeholders, and help raise analytical standards through mentorship and methodological leadership.
  • Experience working on content classification, taxonomy, safety, policy, or adjacent domains where data quality and judgment are important to product decisions.

Förmåner

  • Extensive learning opportunities, through our dedicated team, GreenHouse.
  • Flexible share incentives letting you choose how you share in our success.
  • Global parental leave, six months off - for all new parents.
  • All The Feels, our employee assistance program and self-care hub.
  • Flexible public holidays, swap days off according to your values and beliefs.
#Data Science#Data#Research#Insights#Product#Content#Analytics#Strategy#Machine Learning#LLM
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Företag

Spotify

Publicerade jobb

för 2 veckor sedan

Anställningstyp

Heltid

Arbetsform

Hybrid

Erfarenhetsnivå

Mellannivå

Platser

Stockholm, Sweden

London, United Kingdom

Sökande

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