Data Scientist - Listening Experience Insights
New York, NY
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for an enterprising Data Scientist professional who is passionate about using data to understand human behavior, translating those insights into meaningful experiences. You have a keen mind for product and the analytical and statistical skills to develop and deliver the insights that drive teams toward impactful solutions. You thrive in highly collaborative environments, working alongside User Research, Product, Design, and Engineering.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.
We are looking for an enterprising Data Scientist professional who is passionate about using data to understand human behavior, translating those insights into meaningful experiences. You have a keen mind for product and the analytical and statistical skills to develop and deliver the insights that drive teams toward impactful solutions. You thrive in highly collaborative environments, working alongside User Research, Product, Design, and Engineering.
What You'll Do:
- Develop research questions and perform analyses to understand who our listeners are, how they get value out of personalized listening experiences, and where we can develop our product to bring greater value.
- Perform exploratory analyses to understand the quality of our recommendations and their effect on users.
- Define, evaluate, dashboard and monitor key metrics to understand impact and triage why metrics move.
- Design, analyze, and interpret the results of experiments.
- Work closely with the team including data engineering to build lasting solutions to our data modeling
- Contribute to the development of the Product Insights function and the wider analytics community at Spotify.
Who You Are:
- You have 2+ years of experience in applied research and statistical modeling with a degree or higher in psychology, computer science, statistics, mathematics or similar field.
- Competence with SQL and experience performing analysis on large datasets.
- You have a strong statistical understanding of online testing methodologies and metric development.
- You are comfortable taking on loosely defined problems, translating complex thinking into practical application for diverse audiences.
- You are a communicative person who values building strong relationships with colleagues across disciplines to foster product innovation.
Where You'll Be:
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
- Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located that time zone.
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.
Tags: Computer Science Engineering Mathematics Research SQL Statistical modeling Statistics Streaming Testing
Region:
North America
Country:
United States
Job stats:
21
3
0
Category:
Data Science Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs