What’s next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio.

We are looking for an impact-driven Data Scientist to solve exciting problems in recommendations, search, and personalization using Machine Learning. As a Data Scientist at SoundCloud you will work closely with other data scientists and engineers to find opportunities and build, tune, instrument, and evaluate machine learning models.

Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude.

About The Role

In this role you will be responsible for leading the efforts to build data products and internal solutions for some of the hardest problems, mainly in search and recommendations. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas.

Some Projects You Might Work On Include
Build and evaluate ranking models to improve the search experience of our users
Applying natural language processing (NLP) techniques to search queries to better understand user-intent and misspellings
Build a personalized playlist recommendation model to empower curation at SoundCloud
Iterate on existing recommendation products to improve quality
Analyse user journeys and derive success metrics to support product decisions




You are a Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have:
You have a Ph.D. or M.Sc. in a quantitative field (Statistics, Machine Learning, AI, Computer Science, Physics, Mathematics, etc.) or demonstrated industry experience productionizing machine learning algorithms
A minimum of 3 years of experience in a full-time industry position (not academic)
A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc.
Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar
Strong engineering background, with experience with Scala, Python or similar languages that are used to ship production models and systems
You have solid analytical capabilities; you know not just how to solve problems with machine learning but also where and when.
Worked in cross-functional teams and are able to work in multiple parts of a tech stack
You value the soft-side of applied research (e.g. communication, mentorship, team-work)
You are excited by the opportunity to directly impact the daily experience and happiness of millions of people around the world.

Educational level:

Ph. D.

Level of experience (years):

Mid Career (2+ years of experience)

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About SoundCloud

SoundCloud is the worlds leading audio platform, where anyone can share and discover unique music & audio, on the web and on mobile.