Remote Data Scientist, Music Promotion & Discovery Mode

Devconnectplatform

New York (NY)

À distance

USD 95 000 - 135 000

Plein temps

Il y a 6 jours
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Avantages offerts par ce poste

Health insurance
Six-month parental leave
401(k) retirement plan
Monthly meal allowance
23 paid days off
Paid holidays
Paid sick leave

Résumé du poste

Spotify is seeking a Data Scientist to join Discovery Mode within the Music Mission in New York. You will focus on customer engagement, instrumentation and dashboards for a self-serve product, and run experiments to improve user experience and business impact.

You’ll partner with product, engineering and user research to define metrics, build dashboards in Python/SQL/BigQuery, and share insights to influence product decisions. Remote-friendly role with US-base compensation.

Qualifications

  • Degree in data science, computer science, statistics, economics, mathematics or a similar quantitative field.
  • Experience with product analytics, including defining success metrics and presenting findings with implications.
  • Experience using experimentation to drive product development.

Responsabilités

  • Work with cross-functional teams to build the next generation of promotion tools for artists.
  • Define metrics and dashboards to measure health and success of products.
  • Collaborate with data scientists to test hypotheses and deliver actionable insights.

Connaissances

Python
SQL
BigQuery
Tableau
DBT
Experimentation
Product analytics

Formation

Degree in data science, CS, statistics, economics, mathematics

Outils

Python
DBT
BigQuery
SQL
Tableau

Description du poste

Spotify is seeking a Data Scientist to join Discovery Mode within the Music Mission in New York. You will focus on customer engagement, instrumentation and dashboards for a self-serve product, and run experiments to improve user experience and business impact.

You’ll partner with product, engineering and user research to define metrics, build dashboards in Python/SQL/BigQuery, and share insights to influence product decisions. Remote-friendly role with US-base compensation.

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