Staff Data Scientist, Finance

Snowflake
Menlo Park, Dublin
Workplace: HybridFull timeUSD 184,000 - 264,500 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Technical leadership","Mentorship","Ownership","Systems thinking"]

Lead Snowflake Finance Data Science in a driver-based revenue modeling program that translates product and workload activity into reliable, explainable, production-grade forecasting systems. Own driver identification, revenue decomposition, leading indicators, cohort modeling, scenario analysis, and multi-year forecasts. Build and operate refreshed pipelines and self-service decision tools, partnering with Product Finance, Analytics Engineering, and go-to-market teams to validate assumptions and improve executive decision-making.

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Snowflake
Snowflake
23 hours ago

Staff Data Scientist, Finance

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Last checked: 5 hours agoStatus: Live

Job Summary

Lead Snowflake Finance Data Science in a driver-based revenue modeling program that translates product and workload activity into reliable, explainable, production-grade forecasting systems. Own driver identification, revenue decomposition, leading indicators, cohort modeling, scenario analysis, and multi-year forecasts. Build and operate refreshed pipelines and self-service decision tools, partnering with Product Finance, Analytics Engineering, and go-to-market teams to validate assumptions and improve executive decision-making.
Location: Menlo Park, Dublin
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own and scale a standardized driver-based revenue modeling framework across product categories, extending the initial model to additional workloads.
  • •Define driver trees, attribution rules, measurement standards, assumptions, and taxonomies connecting customer adoption, usage, unit economics, pricing, and cohorts to revenue outcomes.
  • •Develop statistical, econometric, and machine learning methods to identify leading indicators, estimate causal/lagged relationships, and quantify substitution or complementary effects.
  • •Forecast revenue across short- and long-range horizons using appropriate blended approaches, and support scenario analysis with decomposition and what-if tools.
  • •Productionize and operate frequently refreshed pipelines with monitoring, anomaly detection, versioning, reproducible backfills, and rigorous evaluation/backtesting to ensure trusted results.

Pay and Benefits

Salary: USD 184,000 - 264,500 annually

Key Requirements

  • •Advanced degree in a quantitative field (Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science) or equivalent practical experience.
  • •5+ years building and operating production-grade forecasting, econometric, statistical, or machine learning systems with meaningful business impact.
  • •Strong hands-on experience connecting operational inputs (driver/unit economics, demand/capacity planning) to business outcomes.
  • •Deep modeling skills including time-series forecasting, causal inference, and cohort/panel/hierarchical or probabilistic methods with sound judgment.
  • •Strong proficiency in Python and SQL, with experience productionizing analyses and working with large-scale data platforms and systems.
Experience:5+ yearsSaaSConsumption-basedUsage-basedRevenue forecastingProduct telemetry
Skills:CommunicationTechnical leadershipMentorshipOwnershipSystems thinking
Tech Stack:PythonSQLSnowflakeBigQueryRedshiftSpark

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn