Strategic Data Scientist: Planning & Execution Insights

Spotify

Greater London

Híbrido

GBP 90.000 - 120.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Hybrid work arrangement

Descripción de la vacante

Spotify is seeking a Data Scientist on the Company Planning and Execution (CPE) team in London or Stockholm. You will turn data into decision-ready insights at scale, collaborating with product, analytics, and business partners to refine how Spotify plans and delivers.

You will apply statistical models and machine learning, build data models and dashboards, and develop narratives that explain the why behind the numbers.

Formación

  • 5+ years of experience with a quantitative background in science, economics, engineering, or related field.
  • Strong interpersonal skills and ability to work with multiple stakeholders.
  • Able to turn messy datasets into clear recommendations for non-technical audiences.

Responsabilidades

  • Formulate hypotheses about Spotify planning and delivery and communicate insights to diverse audiences.
  • Apply statistical models and ML to identify trends and improve workflows.
  • Build and maintain data models, pipelines, and dashboards for planning visibility.
  • Develop narratives and recommendations in Planning and Execution reports.
  • Explore AI and automation to speed insights and accessibility.

Conocimientos

Interpersonal skills
SQL
Python
BigQuery
dbt
Tableau
Looker

Herramientas

SQL
Python
BigQuery

Descripción del empleo

Spotify is seeking a Data Scientist on the Company Planning and Execution (CPE) team in London or Stockholm. You will turn data into decision-ready insights at scale, collaborating with product, analytics, and business partners to refine how Spotify plans and delivers.

You will apply statistical models and machine learning, build data models and dashboards, and develop narratives that explain the why behind the numbers.

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