Senior Data Scientist & Engineer
INR 2520K-3380K (estimate) Senior-level Full Time
Tasks
- Analyze product usage and user behavior
- Build LLM-based systems
- Build data pipelines
- Build machine learning models
- Conduct causal analysis
- Create cohort studies
- Define product and growth metrics
- Develop ETL and ELT processes
- Ensure data quality
- Evaluate model performance
- Fine tune prompts and embeddings
- Instrument events for product analytics
- Measure experiment impact
- Own data infrastructure
- Run A/B tests
- Segment users and identify patterns
- Translate analysis into product insights
Perks/Benefits
- Dental insurance
- Flexible time off
- Medical insurance
- Paid parental leave
- Sabbatical after 5 years
- Spending accounts
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | Apache Airflow | Apache Spark | B testing | BigQuery | Causal Inference | Classification | Clustering | Cohort Analysis | DBT | Dagster | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Databricks | Drift Detection | ELT | ETL | Embeddings | Event Tracking | Experimentation | Feature Engineering | Feature Scaling | Instrumentation | LLM | LLM Observability | Language Processing | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Product Analytics | Prompt engineering | Python | RAG | Regression | Retrieval-Augmented Generation | SQL | Snowflake
Education
N/A
Roles
Data Engineer | Data Scientist | Engineer | Scientist | Senior Data Scientist
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