Found.dev
Role Highlights
Languages used
SQL
Python
S3
Key skills
Machine Learning
Data Science
Data Analysis
Data Mining
Anomaly Detection
Product Management
Audio
Quantitative
Backend
Music
CAD
AI
Google Analytics
Console
Tools, Libraries and Frameworks
IOS
Description
Spotify - Associate Data Scientist - User Fraud
Associate Data Scientist - User Fraud
Toronto
Data and Analytics Platform /
Permanent /
Hybrid
Required Qualifications and Skills
A Bachelor's degree in Data Science, CS, or another quantitative field is required. The role needs at least one year of work experience with an emphasis on investigative data analysis, anomaly detection, and data pipelines. A deep understanding of data with expertise in data manipulation and design using SQL and experience in Python are essential. Strong analytical and problem-solving skills are necessary to turn data into actionable insights and recommendations. The candidate should be a continuous learner, excited by new technologies and able to quickly acquire new tools and frameworks.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Spotify
Description
Our mission is to unlock the potential of human creativityby giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today.
Related jobs
Reinforcement Learning
Machine Learning
Product Management
Distributed Systems
Stockholm, UK
Permanent
Data Engineer
Data Analysis
Machine Learning
Data Science
New York, NY, USA
Remote
Full Time
Ruby On Rails
Distributed Systems
System Design
IOS
London
Permanent