Data Scientist
Tasks
- Analyze self serve funnel activation engagement retention and conversion
- Build gross margin models for LLM and compute cost by app and cohort
- Build marketing attribution and media mix incrementality models
- Build summarize embed cluster pipelines using LLM traces
- Design and analyze A B and growth experiments
- Detect fraud patterns and determine enforcement or pricing actions
- Forecast conversion retention expansion and churn
- Model new user aha moment and improve onboarding
- Run clustering on agent trajectories to discover build failure patterns
- Surface confusion bug risk churn risk and fraud indicators
- Transform agent trajectories support tickets logs and prompts into structured signals
Perks/Benefits
Skills/Tech-stack
BERTopic | C-TF-IDF | Causal Inference | Classification | Clustering | DBT | Difference-in-differences | Dimensionality Reduction | ETL | Embeddings | Experiment design | HDBSCAN | Hierarchical Clustering | K-Means | Marketing Mix | Marketing Mix Modeling | Mix Modeling | NumPy | PCA | Pandas | Power analysis | Propensity Score Matching | Propensity score | Python | SQL | Scikit-learn | Score Matching | Significance Testing | StatsModels | Synthetic control | TF-IDF | Topic Modeling | UMAP | Vector Search | Vector similarity
Education
N/A
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