Job Description
Key Responsibilities :
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n1. Recommendation Systems
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Design and optimize personalized recommendation engines (team-oriented filtering, content-based, hybrid models)n
Build real-time and batch recommendation pipelines for playlists, songs, and content discoveryn
Improve CTR, session time, and content consumption through personalizationn

n2. Search & Ranking
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Develop and enhance search relevance and ranking algorithmsn
Work on query understanding, typo correction, intent detection, and semantic search etcn
Optimize search-to-play conversion and reduce zero-result scenariosn

n3. Predictive Modelling
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Build models for Churn prediction, User lifetime value (LTV), Conversion propensity, Cohort Managementn
Drive proactive interventions using predictionsn

n4. Experimentation & Optimization
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Design and run A/B tests and multivariate experimentsn
Measure impact using key metricsn
Translate data insights into product and growth strategiesn

n5. Data & ML Infrastructure
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Work with large-scale datasets to build scalable ML pipelinesn
Collaborate with engineering teams to productionize modelsn
Monitor model performance and continuously iteraten

n Required Qualifications
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7+ years of work experience with Master’s degree in Computer Science, Mathematics or a related fieldn
Hands-on experience with Recommendation systems, Search ranking (Elasticsearch, vector search, embeddings)n
Predictive modeling techniquesn
Solid understanding of Machine Learning algorithms, Statistics & probability, Feature engineering & model evaluationn
Robust proficiency in Python & SQLn
Experience with data visualization toolsn
Experience with SQL and large-scale data systems (BigQuery, Spark, etc.)n
Familiarity with real-time data processingn
Exposure to MLOps and deployment pipelinesn

n Key Competencies
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Solid problem-solving and analytical thinkingn
Abil

📌 Data Scientist Noida
🏢 Mirchi
📍 Noida