Senior Data Scientist
Tasks
- Analyze large-scale datasets
- Calculate sample size
- Conduct cohort analysis
- Conduct funnel analysis
- Conduct segmentation analysis
- Create dashboards and visualizations
- Design and run A/B tests
- Develop churn prediction models
- Develop data quality checks
- Develop metrics and KPIs
- Develop predictive models
- Estimate lifetime value
- Improve ad targeting
- Improve app personalization
- Lead cross-functional data projects
- Maintain ETL pipelines in BigQuery
- Mentor junior data scientists
- Perform statistical significance testing
- Present findings to stakeholders
- Recommend content
- Stay updated on data science trends
- Translate insights into recommendations
Perks/Benefits
- 401k matching
- Casual dress code
- Development budget
- Disability insurance
- Employer paid leave
- Life insurance
- Medical/Dental/Vision insurance
- Paid parental leave
- Wellness benefits
Skills/Tech-stack
A/B | A/B Testing | Adjust | App Store | App store optimization | Appsflyer | Attribution | B testing | BigQuery | BigQuery ML | Causal Inference | Churn Prediction | Classification | Clustering | Cohort Analysis | Data Quality | Data Visualization | ETL | Firebase | Funnel Analysis | KPI | Lifetime Value | Looker | Machine Learning | Predictive Modeling | Propensity Score Matching | Propensity score | Python | R | Regression | SQL | Score Matching | Segmentation | Statistical Analysis | Store optimization | Tableau | Time Series
Education
Roles
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