Senior Data Scientist - Content Platform

Spotify; London; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to join their Content Platform Insights team. In this pivotal role, you will leverage your extensive experience in data science to conduct exploratory analyses and enhance the quality of content-related decisions. You will collaborate with product teams to measure the impact of new strategies, while also mentoring junior data scientists. This role offers the flexibility to work within the EMEA region, fostering an inclusive environment that values diversity and creativity. If you're passionate about data and eager to drive strategic impact in a dynamic setting, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in data science with a focus on building solutions.
• Technical competence in advanced analytics and coding skills in SQL and Python.

Responsibilities

• Conduct exploratory analyses to evaluate the performance of automated review models.
• Identify opportunities to improve content-related decisions.

Skills

Data Science Solutions

SQL

Python

R

Data Visualization

Large Dataset Analysis

Mentoring

Communication Skills

Problem Solving

Adaptability

Education

Degree in Data Science

Degree in Computer Science

Degree in Statistics

Degree in Economics

Degree in Mathematics

Tools

Tableau

Looker

Matplotlib

ggplot2

Job description

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We are looking for a Senior Data Scientist to join the Content Platform Insights team. Content Platform is a central enabler for the Spotify business. We deliver a complete, available, and enriched catalog of music, podcasts, videos, and more. We provide the knowledge graph that accumulates differentiated understandings of creators, content, their attributes, and their relationships. We ensure we can readily moderate and control the catalog to ensure a safe and trusted experience for consumers and to keep our platform free of infringement.

The successful candidate will join the Magnum PI squad, which focuses on products and processes for content review, primarily the detection and handling of policy violations and copyright infringement. We help build products that allow us to detect issues, handle them automatically, or improve the work of operators.

What You'll Do

1. Conduct exploratory analyses to understand the nature of our content and evaluate the performance of our automated review models.
2. Identify opportunities to improve the quality and efficiency of content-related decisions.
3. Partner with product teams to measure and interpret the impact of new strategies and features.

Who You Are

1. You have 5+ years of experience building data science solutions.
2. Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
3. You have the technical competence to perform advanced analytics.
4. Coding skills in SQL and Python or R.
5. Experience with data visualization tools such as Tableau, Looker, matplotlib, ggplot2, or similar.
6. Extensive experience analyzing large datasets.
7. An ambitious person capable of tackling loosely defined problems and driving strategic impact.
8. A communicative individual who values building positive relationships and can explain complex topics simply.
9. Experience mentoring junior data scientists.
10. Thrives in a fast-paced, dynamic, and high-energy environment and is comfortable with ambiguity.

Where You'll Be

1. Flexible work location within the EMEA region, excluding France due to on-call restrictions.
2. Within the Central Eastern time zone for collaboration.

Spotify is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We support accommodations during the application and interview process—please let us know if you need assistance.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock human creativity by supporting artists and connecting fans through our platform. We are passionate about music and podcasting and are proud to be the world's most popular audio streaming service.