Music Analytics Expert

4 days ago


Lahore, Punjab, Pakistan Black Lion Innovations Group Full time

Black Lion Innovations Group is seeking a skilled Music Analytics Expert to join our team. As a key member of our data science department, you will work with large-scale music datasets from various streaming platforms and APIs, designing robust databases and building models to drive insights that enhance decision-making for artists, labels, and music investors.

Key Responsibilities:
  1. Data Integration & API Management:
    Extract, clean, and integrate data from music APIs (Spotify, Apple Music, YouTube, Deezer, etc.).
    Automate workflows for data collection using APIs and third-party platforms.
    Ensure seamless integration with internal systems and databases.
  2. Database Management:
    Design, manage, and optimize SQL-based databases and NoSQL systems (e.g., MongoDB).
    Build scalable data pipelines to handle streaming and transactional data efficiently.
  3. Data Analysis & Modeling:
    Perform exploratory data analysis to uncover trends and actionable insights in music data.
    Develop machine learning models for audience segmentation, song performance prediction, and music asset valuation.
    Implement recommendation systems tailored for music content and user behavior.
  4. Visualization & Reporting:
    Create dynamic dashboards and reports using tools like Power BI, Tableau, or custom-built solutions.
    Provide clear, visual presentations of insights for non-technical stakeholders, including artists and investors.
Required Skills & Qualifications:
  1. Education:
    Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  2. Technical Proficiency:
    Strong programming skills in Python and R, with expertise in data manipulation (pandas, NumPy).
    Advanced SQL skills for managing relational databases and optimizing queries.
    Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra).
    Familiarity with music-specific APIs (Spotify, YouTube, Deezer, etc.) and RESTful API integration.
    Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
    Experience with big data platforms like Hadoop, Spark, or AWS for scalable analytics.
  3. Music Domain Knowledge:
    Experience working with streaming analytics, audio feature analysis, or music metadata.
    Familiarity with tools like Librosa for audio signal processing is a plus.
  4. Soft Skills:
    Exceptional problem-solving skills with a creative mindset.
    Strong communication skills for presenting technical findings to non-technical stakeholders.
    A passion for the music industry and its evolving data landscape.


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