Applied Scientist, Customer FinOps Intelligence
Tasks
- Collaborate with Product FinOps and Sales strategy
- Construct peer groups with unsupervised learning
- Develop peer benchmarking models
- Engineer benchmarking feature store
- Handle statistical outliers and temporal variation
- Mine platform usage signals
- Package advisory benchmarking outputs
- Translate insights into field ready narratives
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Benchmarking | Clustering | Cohort Analysis | DBSCAN | DBT | Dimensionality Reduction | Feature Engineering | Hierarchical Clustering | K-Means | Machine Learning | Outlier Detection | PCA | Pandas | Percentile analysis | Polars | Python | SQL | Scikit-learn | Snowpark | Statistical modeling | StatsModels | UMAP | Unsupervised machine learning
Education
Roles
Regions
Countries
States
Cities
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