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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.
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
Being the first partner to implement
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