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Senior Data Scientist - Content Platform

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United Kingdom, Sweden

Offer summary

Qualifications:

5+ years of experience in data science, Degree in a quantitative field, Competence in advanced analytics, Proficiency in coding (Python, R), Experience with large datasets.

Key responsabilities:

Identify low-value music/podcast content
Quantify financial impacts and assess performance
Model tracks for specific use cases
Collaborate with engineering teams on catalog opportunities

Spotify Music XLarge https://www.lifeatspotify.com/

5001 - 10000 Employees

HQ: Stockholm

See more Spotify offers

Job description

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 Cherry PI squad, which focuses on understanding the composition, growth, cost and value of our music, podcast and audiobook catalogues. We partner with the engineering teams who build, maintain and extend those catalogues to explore opportunities and risks, assess performance and set goals.

What You´ll Do

Recent and current project work by our squad has included:

Identifying low-value music and podcast content

Quantifying the financial impact of errors by music vs. noise categorisation systems

Exploring the drivers of music and music video ingestion speed

Modeling which of our tracks are ‘background music’ or designed for children

Who You Are

You have 5+ years of experience building data science solutions.

Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.

You have the technical competence to perform more advanced analytics

Coding skills (such as Python, R or similar)

Analytics tools experience (such as SQL, Pandas, R, Spark or similar)

Data visualisation tools (such as Tableau, Looker, Qlik Sense, matplotlib, ggplot2 or similar)

You have extensive experience performing analysis with large datasets

You have experience scoping out problems too large to handle with a single person, and delegating tasks to junior colleagues

You are an ambitious person who’s capable of tackling loosely defined problems and driving strategic impact

You are a communicative person that values building positive relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms

You have experience mentoring more junior data scientists to set them up for success

You are comfortable with ambiguity

Where You´ll Be

This role will be based out of our London or Stockholm office.