Job Description

Key Responsibilities :

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1. Recommendation Systems

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- Design and optimize personalized recommendation engines (collaborative filtering, content-based, hybrid models)
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- Build real-time and batch recommendation pipelines for playlists, songs, and content discovery
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- Improve CTR, session time, and content consumption through personalization
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2. Search & Ranking

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- Develop and enhance search relevance and ranking algorithms
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- Work on query understanding, typo correction, intent detection, and semantic search etc
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- Optimize search-to-play conversion and reduce zero-result scenarios
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3. Predictive Modelling

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- Build models for Churn prediction, User lifetime value (LTV), Conversion propensity, Cohort Management
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- Drive proactive interventions using predictions
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4. Experimentation & Optimization

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- Design and run A/B tests and multivariate experiments
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- Measure impact using key metrics
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- Translate data insights into product and growth strategies
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5. Data & ML Infrastructure

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- Work with large-scale datasets to build scalable ML pipelines
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- Collaborate with engineering teams to productionize models
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- Monitor model performance and continuously iterate
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Required Qualifications

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- 7+ years of work experience with Master’s degree in Computer Science, Mathematics or a related field
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- Hands-on experience with Recommendation systems, Search ranking (Elasticsearch, vector search, embeddings)
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- Predictive modeling techniques
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- Solid understanding of Machine Learning algorithms, Statistics & probability, Feature engineering & model evaluation
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- Strong proficiency in Python & SQL
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- Experience with data visualization tools
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- Experience with SQL and large-scale data systems (BigQuery, Spark, etc.)
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- Familiarity with real-time data processing
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- Exposure to MLOps and deployment pipelines
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Key Competencies

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- Robust problem-solving and analytical thinking
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- Ability to communicate complex findings to non-technical stakeholders
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- High attention to detail and data accuracy
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- Collaborative mindset and ability to work in cross-functional teams
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📌 Data Scientist (Noida)
🏢 Mirchi
📍 Noida