Associate Data Scientist - User Fraud
New York City
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!
We’re looking for an Associate Data Scientist to join the band and help drive a data-first culture within a team focused on operations and analysis. The team’s mission is to protect the integrity of the platform from undesired behaviors like account abuse and artificial manipulation, via research of trends and patterns related to user behavior and methods of content consumption.
You’ll be a part of a team of operations staff and other data scientists and will support the overall anti-abuse strategy at Spotify, to effectively combat behavior that negatively impacts the experience of our artists, fans and users. Above all, your work will impact the way the world experiences music and the method in which a billion fans will connect with a million artists.
This role will be based in New York but will provide an opportunity for close collaboration with your Stockholm colleagues.
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 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This position is not eligible to be performed in Colorado.
You’ll be a part of a team of operations staff and other data scientists and will support the overall anti-abuse strategy at Spotify, to effectively combat behavior that negatively impacts the experience of our artists, fans and users. Above all, your work will impact the way the world experiences music and the method in which a billion fans will connect with a million artists.
This role will be based in New York but will provide an opportunity for close collaboration with your Stockholm colleagues.
What you'll do
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to help automate, optimize and understand key business problems and solutions
- Work closely with cross-functional teams of data and backend engineers, analysts, user researchers, product managers and designers
- Build and analyze dashboards, reports to empower operational and exploratory data analysis
- Communicate insights and recommendations to key stakeholders, engineering and product partners
- Understand how user fraud affects other consumers of our data, including insights and feature teams, and work across the data landscape to minimize impact and drive influence wherever possible.
Who you are
- A bachelor's degree in Data Science, CS, Operational Research or another quantitative field.
- You have a deep understanding of numbers, a strong interest in research, and an experienced and mature business sense.
- Strong analytical and problem solving ability.
- Coding skills for analytics and data manipulation (SQL, Python, Pandas)
- An interest in Scala is a big plus!
- Strong communication and data presentation skills (such as Tableau and / or Data Studio)
- Experience deriving and presenting insights from complex data
- You enjoy tackling loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions.
- You are a communicative person that values building strong relationships with colleagues and multiple stakeholders, and have the ability to explain complex topics in simple terms.
- You enjoy collaborative work in a multifaceted, data-driven and creative environment
- Passionate about music, data and the fascinating relationship between the two.
Where you'll be
- We’ve introduced Work From Anywhere to give you more options!
- Our offices are currently closed due to COVID-19, so we are giving you the flexibility to work from home on some days should you choose to do so. Post COVID, we will ask you to pop into the office a few days a week.
- Working hours? We operate within the local Eastern Standard Timezone for collaboration.
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 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This position is not eligible to be performed in Colorado.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data Mining Data Studio EDA Engineering Pandas Python Research Scala SQL Streaming Tableau Testing
Region:
North America
Country:
United States
Job stats:
7
2
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 NLP-related jobs
- Open Data governance-related jobs
- Open LLMs-related jobs
- Open Airflow-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs