Data Scientist

**Role Overview** We are seeking a highly motivated and analytical Data Scientist to join our team. The ideal candidate will be responsible for analyzing large\-scale user and content data, build and scale intelligent systems across recommendation engines, search ranking, churn prediction, and user behavior modeling. **Key Responsibilities** **1\. Recommendation Systems** * Design and optimize personalized recommendation engines (collaborative filtering, content\-based, hybrid models) * Build real\-time and batch recommendation pipelines for playlists, songs, and content discovery * Improve CTR, session time, and content consumption through personalization **2\. Search \& Ranking** * Develop and enhance search relevance and ranking algorithms * Work on query understanding, typo correction, intent detection, and semantic search etc * Optimize search\-to\-play conversion and reduce zero\-result scenarios **3\. Predictive Modelling** Build models for: * Churn prediction * User lifetime value (LTV) * Conversion propensity * Cohort Management Drive proactive interventions using predictions **4\. Experimentation \& Optimization** * Design and run A/B tests and multivariate experiments * Measure impact using key metrics * Translate data insights into product and growth strategies **5\. Data \& ML Infrastructure** * Work with large\-scale datasets to build scalable ML pipelines * Collaborate with engineering teams to productionize models * Monitor model performance and continuously iterate **Required Qualifications** * 7\+ years with Master’s degree in Computer Science, Mathematics or a related field * Hands\-on experience with: Recommendation systems Search ranking (Elasticsearch, vector search, embeddings) Predictive modeling techniques * Solid understanding of: Machine Learning algorithms Statistics \& probability Feature engineering \& model evaluation * Strong proficiency in Python \& SQL * Experience with data visualization tools * Experience with SQL and large\-scale data systems (BigQuery, Spark, etc.) * Familiarity with real\-time data processing * Exposure to MLOps and deployment pipelines **Key Competencies** * Strong problem\-solving and analytical thinking * Ability to communicate complex findings to non\-technical stakeholders * High attention to detail and data accuracy * Collaborative mindset and ability to work in cross\-functional teams