Data Scientist
Job Description
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
More Info
Key Skills
Vector search
Predictive modeling techniques
Recommendation systems
Feature engineering
Embeddings
Real-time data processing
Search ranking
Data visualization tools
Deployment pipelines
Model evaluation
About Company
Skills:
snowflake , Elasticsearch, Sql, MySQL, Cassandra, Hive, Nosql, Amazon Redshift, Gcp, Terraform, PostgreSQL, SQL Server, HBase, AWS, Redis, Oracle, Python, Azure, Docker, MongoDB, Spark, Airflow, Beam, Nifi, Teradata, GitHub Actions, MLflow, Luigy
Skills:
Python, Sql, Statistical Analysis, Machine Learning, Predictive Modeling
Skills:
production deployment , Personalization, Nlp, Gcp, Azure, Python, AWS, feature stores, Generative AI, LLMs, model training, behavioural and event-streaming datasets, search systems, vector databases, a/b testing, embedding-based retrieval systems, video understanding models, MLOps tooling, feature engineering, ML experimentation frameworks
Skills:
Machine Learning, Pyspark, Sql, Nlp, Pytorch, Databricks, Python, Generative AI, LLMs, MLflow, LLM APIs, RAG, Azure AI services
Skills:
Pyspark, Machine Learning, Hive, Python, Statistical Analysis, Sql, Generative AI, AI-powered applications, LLMs