Director, GTM Economics & Growth Science

Pure Storage, Inc.

New York (NY)

On-site

USD 211,000 - 338,000

Full time

7 days ago
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Benefits offered by this job

Flexible time off
Wellness resources
Company-sponsored team events

Job summary

Everpure is seeking a Director of GTM Economics & Science to lead causal measurement and production-grade analytics. You will architect models to isolate sales-driven lift, influence global headcount and incentive design, and partner with Finance, Data Science, and Sales leadership to optimize ROI.

You will deploy robust data pipelines, translate econometric results into actionable narratives for executives, and drive cross-functional collaboration to scale producible insights across the

Qualifications

  • PhD in Economics, Econometrics, or a quantitative discipline.
  • Advanced Econometric &causal inference expertise including causal forests, treatment-effect heterogeneity, synthetic control, and diff-in-differences analyses.
  • Fluent in R, Python, or comparable environments to write production-ready code.
  • Experience architecting production-grade causal analyses with complex business data.

Responsibilities

  • Own the Go-To-Market Causal Measurement Strategy and long-term roadmap.
  • Design and deploy causal models (causal forests, panel methods, uplift) in R or Python.
  • Quantify incremental impact of headcount, incentives, and programs for executive leaders.
  • Operationalize data pipelines with Data Engineering to enable automated dashboards.

Skills

Econometrics
Causal Inference
R
Python
Data Engineering
Production Deployment
Executive Communication

Education

PhD in Economics/Econometrics

Tools

EconML
statsmodels
causalTree

Job description

Everpure is seeking a Director of GTM Economics & Science to lead causal measurement and production-grade analytics. You will architect models to isolate sales-driven lift, influence global headcount and incentive design, and partner with Finance, Data Science, and Sales leadership to optimize ROI.

You will deploy robust data pipelines, translate econometric results into actionable narratives for executives, and drive cross-functional collaboration to scale producible insights across the

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