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Data Scientist

Join a stealth-mode AI project redefining music personalization. Leverage your ML and audio expertise to build next-gen recommendation systems like Spotify. Flexible, remote, and with full-time potential — ideal for data scientists passionate about music and impact.

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Data Scientist July 25, 2025

Data Scientist

Part-Time Data Scientist – Music Domain (Contract Role)

Location: Remote | Engagement: Part-Time | Type: Contract (with potential to convert to Full-Time)

We are looking for a top-tier Data Scientist to join a stealth-mode innovation project at the intersection of AI, data, and music. If you’re passionate about using data to create impact and intrigued by the challenge of building the next-gen music recommendation engine (think: Spotify-level personalization), we’d love to connect.

 

Key Responsibilities

  • Design and implement music recommendation models using advanced ML/AI techniques
  • Work on large-scale audio/music datasets to extract insights and patterns
  • Collaborate with product and engineering teams to integrate predictive models into the user experience
  • Research and experiment with deep learning approaches in music personalization
  • Evaluate model performance and continuously refine for accuracy, relevance, and user engagement

 

Required Skills & Experience

  • Proven experience as a Data Scientist, preferably in music, audio, or media domain
  • Hands-on expertise with machine learning, deep learning, and recommendation algorithms
  • Proficiency in Python, Pandas, scikit-learn, TensorFlow/PyTorch, and data visualization libraries
  • Familiarity with audio feature extraction, signal processing, and music datasets (e.g., Spotify API, Million Song Dataset)
  • Strong knowledge of predictive analytics, user behavior modeling, and personalization systems

 

Preferred Qualifications

  • Experience building real-time or near-real-time recommender systems
  • Exposure to music theory or audio signal analysis is a strong plus
  • Background in consumer-facing platforms or startups
  • Degree in Computer Science, Data Science, AI/ML, or a related field

 

What We Offer

  • A rare opportunity to be part of a stealth-mode project from the ground up
  • Flexible remote working hours suited to part-time contributors
  • A creative, open, and collaborative team
  • Scope to convert into a long-term/full-time role based on interest and performance

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