Senior Data Scientist & Engineer
Tasks
- Analyze product usage and user behavior
- Build and maintain scalable data infrastructure
- Collaborate with product and engineering teams
- Design and run experiments with A B tests
- Develop ETL and ELT pipelines
- Develop and deploy LLM-based models
- Develop and deploy machine learning models
- Ensure data quality systems
- Perform cohort analysis and causal impact studies
- Track and refine product and business metrics
- Translate data insights into product recommendations
Perks/Benefits
- Career growth support
- Family support benefits
- Flexible work arrangements
- Learning and development opportunities
- Medical/Dental/Vision insurance
- Paid parental leave
- Paid time off
- Remote-friendly culture
- Sabbatical eligibility
Skills/Tech-stack
A/B | A/B Testing | Airflow | Apache Spark | B testing | BigQuery | Causal Inference | Classification | Clustering | Cohort Analysis | DBT | Dagster | Databricks | ELT | ETL | Embedding | LLM | NLP | Prompt engineering | Python | RAG | Regression | SQL | Snowflake
Education
N/A
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