Senior Data Scientist, Product Analytics
Tasks
- Analyze product usage patterns for customer acquisition engagement conversion and retention
- Architect and implement recommendation models for personalized in app content
- Automate and optimize data pipelines with SQL or Python ETL
- Build and maintain dashboards for business reporting and issue alerting
- Drive A B and multivariate tests and feature level experiments
- Identify user trends and communicate insights for product decision making
- Partner with product and engineering teams to understand instrumentation and data streams
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | ANOVA | B testing | Chi-Square | Chi-square test | Correlation | Data Visualization | ETL | Excel | Hadoop | Hive | Machine Learning | Multivariate Testing | Power BI | Predictive Modeling | Python | Regression | SQL | Spark | Splunk | Statistical Analysis | T-test | Tableau
Education
Roles
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