Data Scientist & Experimentation Analyst
Tasks
- Analyze A B test and multivariate experiment results
- Build statistical models
- Collaborate with cross-functional teams
- Conduct hypothesis testing
- Design and execute A/B tests
- Develop experiment monitoring dashboards
- Perform deep dive data analyses
- Perform exploratory data analysis
- Perform feature engineering
- Prepare datasets
- Support machine learning model evaluation
- Translate findings into actionable recommendations
- Visualize experiment outcomes and metrics
Perks/Benefits
- Collaborative data driven environment
- Continuous learning
- Modern data stack exposure
- Professional growth
- Remote work flexibility
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Classification | Clustering | Data Visualization | Experimental Design | Feature Engineering | KMeans | Machine Learning | Matplotlib | Multivariate Testing | NumPy | Pandas | Power BI | Python | Random Forest | Regression | SQL | Scikit-learn | Seaborn | Statistical modeling | Tableau | XGBoost
Roles
Analyst | Data Scientist | Experimentation Analyst | Scientist
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