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Data Scientist for Music Streaming Fraud Detection

1 month ago

Vancouver, British Columbia, Canada Beatdapp Full time

Beatdapp is a pioneering tech company revolutionizing the music industry with cutting-edge streaming fraud and auditing technology.

Leveraging our industry-leading solution, we help combat the staggering $2 billion in annual losses suffered by artists and labels. Our mission-driven team is passionate about delivering innovative data-driven insights to empower the music ecosystem.

This role offers an exciting opportunity for a skilled Data Analyst and Labeller to join our Vancouver-based team. Working closely with data scientists, engineers, and product managers, you will be responsible for analyzing large datasets, identifying patterns, and contributing to the development of high-quality machine learning models.

To succeed in this position, you will require strong analytical skills, proficiency in Python, and experience with SQL databases. Familiarity with music streaming platforms and common user behavior is also essential. Additionally, you should possess excellent communication skills, attention to detail, and the ability to work effectively in a collaborative environment.

The ideal candidate will have a keen interest in data analysis and music, with a willingness to continuously learn and adapt to new technologies and methodologies in the field of fraud detection.

We offer a dynamic work environment, frequent company events, and a flexible schedule that includes 3 days per week at our Downtown Vancouver office. In exchange for your expertise, you can expect a competitive salary range of $65,000 - $80,000 CAD, reflecting the high demand for skilled professionals in this field. If you are passionate about making a meaningful impact in the music industry, apply now to become part of our innovative team