Job
Description
Skills Needed Problem-Solving and Analytical Thinking : Strong ability to deeply understand complex business challenges, translate them into structured data science problems, and deliver actionable insights and solutions Communication and Stakeholder Management Skills Skilled in conveying technical concepts to non-technical stakeholders and collaborating across cross-functional teams Programming & Cloud Proficiency Highly skilled in Python and PySpark for data manipulation, modeling, and pipeline development. Experience working within cloud-based environments, particularly the Google Cloud Platform (GCP) including BigQuery Machine Learning Expertise: Hands-on experience with a broad range of ML techniques including supervised and unsupervised learning, ensemble methods (e.g., bag: ging, boosting, stacking), and model evaluation techniques Marketing and Customer Analytics : Practical experience applying data science to marketing problems such as churn prediction, customer lifetime value (LTV) forecasting, customer segmentation, campaign targeting, and behavioral clustering MLOps and Productionization Exposure: Understanding of MLOps principles, including model versioning, CI/CD pipelines, automated retraining, monitoring, and deployment in production environments Domain Knowledge in Media & Publishing (Preferred) : Familiarity with the Media & Publishing industry, including content consumption patterns, audience engagement metrics, and monetization strategies Industry Experience and Relevance : Background in industries such as digital media, content platforms, marketing analytics, or customer intelligence Show more Show less
