Your mission
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Exploratory Data Analysis & Insights
Exploratory Data Analysis & Insights
- Conduct deep-dive exploratory data analysis (EDA) to identify trends, predict user behavior and optimize key performance metrics (e.g., retention, ROAS).
- Design, develop, and deploy advanced machine learning models for predictive analytics, recommendation systems and anomaly detection.
- Optimize data-driven strategies through AI/ML applications.
- Build and maintain scalable data pipelines for data ingestion, transformation and high-quality model inputs.
- Design and execute rigorous A/B tests to validate hypotheses and assess the impact of new features.
- Work closely with engineering and product teams to integrate AI/ML solutions into enterprise applications.
- Ensure smooth deployment and scalability of machine learning models.
- Act as a thought leader, promoting data-driven decision-making and implementing best practices across the company.