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Snowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.
Applied Scientist, Customer FinOps Intelligence
Location
California
Posted
61 days ago
Salary
$134.6K - $176.6K / year
Seniority
Senior
Job Description
Applied Scientist, Customer FinOps Intelligence
Snowflake
• Develop and maintain peer benchmarking models using platform usage signals to produce unit economic metrics: • Credits per 1,000 jobs. • Credits per TB scanned. • Workload mix (% spend on Data Engineering, BI, Data Science, ELT, etc.). • Cost efficiency percentiles (p25 / p50 / p75 / p90) by industry and customer segment. • Construct peer groups using unsupervised ML techniques (clustering, dimensionality reduction) on account-level feature vectors — combining industry vertical, usage fingerprint, and size normalization into meaningful comparable cohorts. • Engineer a benchmarking feature store from large-scale platform usage datasets using Snowpark and dbt, covering compute, storage, and workload dimensions at account and industry level. • Apply statistical rigor to handle skewed distributions, outlier accounts, and temporal variation in usage patterns across a highly diverse customer base. • Package benchmarking outputs into repeatable advisory assets — cost optimization playbooks, benchmarking dashboards, and narrative summaries — that can be consumed by field teams and scaled across the customer base. • Partner with Account Executives, Solution Engineers, and Customer Success Managers to embed FinOps benchmarking into the customer lifecycle — translating analytical outputs into field-ready narratives and customer conversations. • Collaborate cross-functionally with Product, FinOps, and Sales Strategy to ensure advisory insights feed back into product priorities and field positioning.
Job Requirements
- MS or PhD in Statistics, Applied Mathematics, Econometrics, Computer Science, or a quantitative field
- 5+ years of hands-on experience in applied data science, quantitative research, or value engineering — ideally at a cloud platform, enterprise SaaS, or management consulting firm
- Expert-level SQL — comfortable with complex multi-join queries across billions of rows of operational metadata
- Strong proficiency in Python (pandas/polars, scikit-learn, statsmodels) for statistical modeling and ML
- Deep experience with unsupervised ML: clustering (k-means, DBSCAN, hierarchical), PCA/UMAP, anomaly detection
- Experience designing and interpreting percentile-based benchmarks and cohort analyses at scale
- Strong communication and storytelling skills — able to interpret complex quantitative findings and present them clearly to both technical teams and business stakeholders.
- Comfort operating in ambiguous, greenfield environments where the methodology is yours to define.
Benefits
- Snowflake is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
- Flexible work arrangements.
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