Data Scientist II
Tasks
- Apply causal inference methods
- Build dashboards and tooling
- Build dbt models
- Coach stakeholders on statistical concepts
- Collaborate with Data Engineering on data quality
- Communicate insights to stakeholders
- Conduct EDA and data validation
- Conduct ad hoc analysis
- Define and maintain KPIs
- Perform product analytics
- Run A B tests end to end
- Translate results into actionable recommendations
- Use machine learning for classification regression clustering
Perks/Benefits
- 401k match
- Company winter break
- Dental coverage
- Disability coverage
- Free snacks and drinks
- Life insurance
- Medical coverage
- Paid Holidays
- Parental leave
- Unlimited PTO
- Vision coverage
- Volunteer days
Skills/Tech-stack
A/B | A/B Testing | Amplitude | Apache Spark | B testing | BigQuery | Cohort Analysis | Confidence Intervals | DBT | Data Modeling | Data Validation | Databricks | Difference-in-differences | EDA | FullStory | Funnel Analysis | Hypothesis Testing | Machine Learning | Mixpanel | Multiple Comparisons | NumPy | Pandas | Power analysis | Propensity scoring | Python | Regression discontinuity | Retention analysis | SQL | Scikit-learn | Segmentation | Snowflake | Synthetic control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Data Scientist II | Scientist | Scientist II
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