Director, Analytics & Data Science

Adobe Adobe · Enterprise · San Francisco, CA

This role focuses on developing and refining data science insights and solutions for product strategy, acquisition, retention, and demand forecasting. It involves building customer segmentation models, forecasting models, and churn modeling initiatives, as well as creating scalable machine learning pipelines and data artifacts. The role requires strong Python, SQL, and experience with cloud data platforms and visualization tools.

What you'd actually do

  1. Define and drive a culture of analytical rigor, including implementing scalable tools and processes that drive visibility, accountability, and action.
  2. Develop and refine customer segmentation models using unsupervised learning techniques to identify behavioral clusters and inform targeting strategies.
  3. Build and maintain forecasting models (e.g., ARIMA, Prophet) to predict demand and user engagement trends.
  4. Lead churn modeling initiatives to proactively identify at-risk users and recommend mitigation strategies.
  5. Create reusable machine learning pipelines and data artifacts that scale across the organization.

Skills

Required

  • Python
  • SQL
  • Databricks
  • Tableau
  • Time series forecasting (ARIMA, Prophet)
  • Unsupervised learning
  • Statistical modeling
  • Experimentation
  • Lifecycle analytics
  • Machine learning pipelines

Nice to have

  • Advanced analytics

What the JD emphasized

  • 10+ years of experience in data science or advanced analytics
  • Proven track record in building high performing data science/analytics teams
  • Strong communication skills and a track record of influencing stakeholders, peers, and leaders
  • Strong proficiency in Python and SQL
  • Deep understanding of time series forecasting
  • Proven ability to build and deploy unsupervised learning models for customer segmentation
  • Strong foundation in statistical modeling, experimentation, and lifecycle analytics