Key Responsibilities : 1.

Recommendation

Systems - Design and optimize personalized recommendation engines (team-oriented 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
Solid 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 - Solid 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

📌 Data Scientist Faridabad
🏢 Mirchi
📍 Faridabad