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 of work experience 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 (Big Query, 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 Cooperative mindset and ability to work in cross-functional teams

📌 Data Scientist (India)
🏢 Mirchi
📍 India