Data Scientist / Advanced Analytics Consultant - 0–12+ Years Experience
Tasks
- Analyze customer segmentation
- Analyze digital interface friction
- Analyze structured data
- Analyze unstructured data
- Apply statistical analysis
- Build classification models
- Build clustering models
- Build dashboards
- Build forecasting models
- Build interactive reports
- Build predictive models
- Collaborate with stakeholders
- Design data layers
- Design event taxonomies
- Develop A/B testing frameworks
- Evaluate model performance
- Follow Data Governance standards
- Follow Responsible AI best practices
- Follow privacy best practices
- Implement event tracking strategies
- Measure experiment outcomes
- Optimize conversions
- Predict churn
- Produce model documentation
- Validate data quality
- Validate statistical assumptions
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Amplitude | B testing | BigQuery | Classification | Client side | Client-side Event Tracking | Clustering | Customer Analytics | Data Layer | Data Visualization | Databricks | Dataiku | Event Tracking | Experiment design | Google Analytics | Google Analytics 4 | Looker | Machine Learning | Mixpanel | NumPy | Power BI | Product Analytics | Python | R | Regression | SQL | SciPy | Scikit-learn | Series forecasting | Server Side | Server Side Event | Server Side Event Tracking | Snowflake | Statistical modeling | Tableau | Tag Management | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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