Data Science and Music Expert
2 weeks ago
We are seeking a talented Music Data Analyst and Labeller to join our team at Beatdapp, a hyper-growth tech company delivering advanced streaming fraud and auditing technology for the music industry. Our mission is to fight the $2 Billion stolen from artists and labels each year.
The ideal candidate will have a keen interest in music and data, with a strong analytical mindset and excellent communication skills. They will be responsible for analyzing large datasets using Python, identifying patterns, trends, and anomalies related to fraudulent activities, and collaborating with data scientists, engineers, and product managers.
Key requirements:
- Familiarity with music streaming platforms, their ecosystem, and common user behavior
- Ability to query databases using SQL
- Proficient at analyzing large datasets using Python
- Strong analytical skills to identify patterns, trends, and anomalies in the data related to fraudulent activities
- Knowledge of data labeling and annotation tools to efficiently tag and categorize data for machine learning models
Nice to have:
- Experience working with large datasets and the ability to handle data preparation, cleaning, and transformation
- Understanding of basic statistical methods to analyze and compare data patterns
Perks:
- Working on difficult problems with a talented team
- Joining a growing company with a strong foundation
- Frequent company events and offsites
- A flexible work environment
The expected salary range for this role is $60,000 - $75,000 CAD.
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