Senior Data Scientist, Analytics
Tasks
- Analyze experiment results and statistical significance
- Author research papers and benchmark studies
- Define statistical significance frameworks
- Design and execute A/B tests
- Document and review statistical methods
- Ensure analytical quality and reproducibility
- Lead causal inference analyses
- Perform ad hoc data deep dives
- Translate analytical findings into actionable narratives
Perks/Benefits
- N/A
Skills/Tech-stack
BI tools | Causal Inference | Classification | Clustering | Confidence Intervals | Data Preprocessing | Dimensionality Reduction | Feature Engineering | Gradient boosting | Hypothesis Testing | LLM | Looker | Machine Learning | Model Evaluation | NLP | Power analysis | Python | Regression | SQL | Statistics | Supervised Learning | Tableau | Unsupervised Learning
Education
N/A
Roles
Regions
Countries
States
Cities
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