Develop and deploy machine learning / AI models to enhance platform capabilities.
Work on use cases such as: Creator segmentation and recommendation.
Creator Content labeling and data analysis.
Campaign performance prediction and optimization.
Translate business and product problems into data science solutions.
Design experiments to validate hypotheses and measure impact.
Iterate on models based on performance, feedback, and real-world usage.
Work with data engineers to define and build scalable data pipelines.
Clean, process, and structure large datasets (creator data, content metadata, campaign performance).
Design meaningful features that improve model performance.
Collaborate closely with product managers and engineers to integrate models into the platform.
Ensure models are production-ready, reliable, and scalable.
Monitor model performance using appropriate metrics (accuracy, precision, recall, business KPIs).

Strong foundation in machine learning and statistics.
Proficiency in Python and common ML libraries (e.g., PyTorch, scikit-learn).
Experience with data processing (e.g., pandas, SQL).
Familiarity with LLMs, NLP, or recommendation systems is a strong plus.
Understanding of model deployment (APIs, batch/real-time inference) is preferred.
Ability to translate ambiguous business problems into data science solutions.
Strong analytical thinking and hypothesis-driven approach.
Understanding of how models create value in a product context (not just offline metrics).
Ability to work cross-functionally with product, engineering, and business teams.
Good communication skills—able to explain complex models in simple terms.
Strong ownership and ability to iterate quickly.
Experience in influencer marketing, advertising, or creator platforms is a plus.

Data Science Intern – Influencer Marketing AI Application

Key skills