Mark Rethana

Lead Data Scientist, Music Expression Product

New York City Metropolitan Area United States
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Summary

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Senior
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Top School
Mark Rethana is a Lead Data Scientist at Spotify with eight years of experience applying statistical analysis, machine learning, and deep learning to music and content analytics. He combines a finance background and FP&A leadership with hands-on data engineering skills (Python, SQL, Pandas, scikit-learn, Keras) to translate business questions into measurable product improvements. At Spotify he progressed from music analytics to leading the Music Expression product, bringing cross-functional product chops and rigorous A/B and modeling practices to creative domains. Prior roles at TIDAL and media companies show he can move between revenue-facing analytics and technical ML work, and his Flatiron School projects include a Spotify feature comparison app and sentiment-driven stock prediction—illustrating a knack for building production-ready prototypes that blend domain insight and experimentation.
code8 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS, Analytics, Master of Science - MS, Analytics at Georgia Institute of Technology
bookImmersive Data Science Bootcamp program, Immersive Data Science Bootcamp program at Flatiron School
bookBachelor’s Degree, Finance, General, Bachelor’s Degree, Finance, General at Boston University Questrom School of Business
bookHigh School, High School at Kellenberg Memorial High School

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:238 pushes, 1 branch in 1 year 10 months
Contributions:143 pushes, 1 branch in 1 year 10 months
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Mark Rethana - Lead Data Scientist, Music Expression Product