Data Scientist

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 (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 ability to work in cross-functional teams

Work arrangement
No