Key Responsibilities :

1. Recommendation Systems
- Design and optimize personalized recommendation engines (cooperative 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 (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

📌 Data Scientist (Noida)
🏢 Mirchi
📍 Noida