Senior Data Scientist II - Personalization

Tasks

• Analyze a b test results and communicate findings
• Analyze large datasets for product insights
• Build knowledge graph pipelines
• Conduct exploratory data analysis
• Define personalization metrics
• Design graph based retrieval for recommendations
• Design transformer based recommendation architectures
• Develop generative ai and llm retrieval augmented generation systems
• Implement online streaming learning systems
• Implement scalable machine learning in production
• Optimize models and instrumentation for product experience
• Own hyper personalization use cases
• Run randomized controlled experiments
• Share personalization signals across verticals

Perks/Benefits

• Fitness reimbursement
• Healthcare benefits
• Remote work
• Unlimited vacation days

Skills/Tech-stack

A/B | A/B Testing | Amazon EMR | Attention Mechanism | B testing | BigQuery | Controlled experiments | Data Mining | Data Modeling | Data Processing | Data cleaning | Deep learning | Geospatial Data | Geospatial Data Processing | Graph Neural Network | Hadoop | Hive | Knowledge graph | Machine Learning | Neural Network | Online Learning | Python | RAG | Randomized controlled experiments | Ranking Systems | Recommendation Systems | Retrieval-Augmented Generation | SQL | Search | Series analysis | Spark | Streaming Learning | Time Series | Time Series Analysis | Transformer