Spotify - Associate Data Scientist
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Requirements
• A Bachelor's degree in Data Science, CS, or another quantitative field. • 1+ years work experience with an emphasis on investigative data analysis, anomaly detection, and data pipelines. • Deep understanding of data with expertise in data manipulation and design (SQL) and experience in Python. • Strong analytical skills, with the ability to turn data into actionable insights and recommendations. • Strong problem-solving skills, intellectual curiosity, and a proactive approach to identifying new opportunities for fraud detection. • A continuous learner, excited by new technologies and able to pick up new tools and frameworks quickly. • Where You'll Be • This role is based in Toronto. • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows foe flexibility to work from home. • The Canada base range for this position is $61,472 – $87,817 CAD plus equity. Benefits available for this position include extended health and dental coverage, retirement savings plans, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and other benefits in accordance with Canadian employment standards. These ranges and benefits may be modified in the future.
Responsibilities
• Investigate evolving fraud trends and consumption habits to enhance detection capabilities. • Build data and tooling to empower operational and exploratory data analysis while optimizing for speed, accuracy, and quality. • Work closely with cross-functional teams of data and backend engineers, and product managers. • Partner with a broad range of stakeholders across music, podcasts and audiobooks to consistently uphold platform integrity.
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