Data Scientist

7 days ago

Vancouver, Canada Beatdapp Full time

Beatdapp is a venture-backed startup delivering the most advanced music streaming fraud and audit technology in the world. Our industry-leading software helps music labels and artists fight the over $2 billion royalties stolen from them each year. Plus, who doesn't love working with the world's best streaming services, music labels, and artists all day

**Data Scientist**

As a Data Scientist, you'll work closely with our leadership team, data engineers, and product team to develop supervised and unsupervised models that help identify and fight fraud across music streaming services. You will directly influence our product decisions and help to fight a multi-billion dollar problem plaguing the music industry.

**Responsibilities**
- Develop and train supervised and unsupervised models using billions of data points to identify fraud and bad actors
- Use strong business acumen, as well as an ability to communicate findings, and mine vast amounts of data for useful insights
- Extract and enrich data from multiple sources globally
- Analyze data from multiple angles, looking for trends that highlight problems or opportunities
- Communicate important information and insights to company stakeholders
- Lead a growing data team to make strategic recommendations
- 3+ years experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Experience working with and creating data architectures
- Strong problem solving skills with an emphasis on product development
- A drive to learn and master new technologies and techniques

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