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Full Time Spotify Data Science Jobs (NOW HIRING)

Melotech

Data Science, Music & Audio

New York, NY · On-site

... Spotify, Blackstone and KKR. What you will do Join us as our first dedicated Data Scientist to ... bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to ...

Spotify

Senior Machine Learning Engineer - Personalization

$107K - $146K/yr

... Data Science, Product, and Design partners to define success metrics, run A/B experiments, and ... Spotify is a commercial music streaming service that provides restricted digital content from a ...

Optimize Partners

Director, Data Science

New York, NY · Hybrid

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Spotify

Senior Staff Machine Learning Engineer

$107K - $146K/yr

Spotify is a leading music streaming platform, and they are seeking a Senior Staff Machine Learning ... design, data science, product management, and engineering to build new product features that ...

Optimize Partners

Director, Data Science

New York, NY · On-site

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Optimize Partners

Director, Data Science

New York, NY · Hybrid

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Chewy

AD, Data Science

Bellevue, WA · On-site +1

$189K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

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Full Time Spotify Data Science information

What is the difference between Full Time Spotify Data Science vs Full Time Spotify Data Engineering?

AspectFull Time Spotify Data ScienceFull Time Spotify Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related fields; experience with machine learning and analyticsDegree in Computer Science, Software Engineering, or related fields; experience with data pipelines and infrastructure
Work EnvironmentAnalyzing data, building models, deriving insightsDesigning, building, and maintaining data pipelines and infrastructure
Employer & Industry UsageUsed across Spotify for product insights, personalization, and recommendationsUsed for data infrastructure, ensuring data flow and availability for analytics

Full Time Spotify Data Science focuses on analyzing data and developing models to improve user experience, while Full Time Spotify Data Engineering centers on building the systems that collect and process data. Both roles are essential, but they differ in skills and daily tasks.

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What are the most commonly searched types of Spotify Data Science jobs? The most popular types of Spotify Data Science jobs are:
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Full Time Spotify Data Science jobs near you

Machine Learning Engineer I, Personalization , Minesweeper

Spotify

Remote

$117K - $140K/yr

Full-time

Posted 26 days ago

Job description

Job Summary:
Spotify is a leading audio streaming service that seeks to enhance user experiences through personalized content recommendations. They are looking for a Machine Learning Engineer I to join their Personalization team, focusing on improving language understanding and content enrichment for music, podcasts, and audiobooks using AI and ML techniques.
Responsibilities:
• Utilize in-house and 3rd party LLMs to solve language understanding problems
• Employ techniques such as fine-tuning and RAG to improve models
• Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
• Help drive optimization, testing, and tooling to improve quality of our content enrichment assets
• Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies
• Be a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems Perform data analysis to establish baselines and inform product decisions
• Stay up-to-date on the latest machine learning algorithms and techniques
Qualifications:
Required:
• You have a strong background in machine learning, especially experience with Large Language Models
• You have professional experience in applied machine learning
• Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required) and cloud platforms (GCP or AWS)
• You have some hands-on experience implementing or prototyping machine learning systems at scale
• You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation
• You have experience and passion for fostering collaborative teams
• Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks
Preferred:
• Experience with Ray or TFX
• Bonus if you have experience with architecting near real time pipelines
Company:
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE, with a team of 5001-10000 employees. The company is currently Late Stage.

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