Data Scientist II
Tasks
- Analyze funnels cohorts retention and segmentation
- Apply quasi experimental methods
- Build dashboards
- Coach stakeholders on statistical concepts
- Communicate insights to stakeholders
- Conduct power analysis
- Create self serve analytics tooling
- Define KPIs
- Develop dbt models
- Drive product analytics
- Implement machine learning models
- Own A/B testing
- Perform EDA
- Perform causal inference
- Recommend actionable decisions
- Triage stakeholder requests
- Validate data quality checks
Perks/Benefits
- 401k match
- Company winter break
- Disability coverage
- Free snacks and drinks
- Life insurance
- Medical, dental & vision coverage
- Paid Holidays
- Paid leave
- Parental leave
- Remote work flexibility
- Unlimited PTO
- Volunteer days
- Work-life balance
Skills/Tech-stack
A/B | A/B Testing | Amplitude | B testing | Causal Inference | Classification | Clustering | Confidence Intervals | DBT | Dashboards | Data Analysis | Data Validation | Difference-in-differences | EDA | Exploratory Data Analysis | FullStory | Hypothesis Testing | Machine Learning | Mixpanel | Multiple Comparisons | NumPy | Pandas | Power analysis | Propensity scoring | Python | Regression | Regression discontinuity | SQL | Scikit-learn | Synthetic control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Data Scientist II | Scientist | Scientist II
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