Senior Manager, Ads and Marketing Data Science

Zillow Zillow · Consumer · Bangalore, India

This role leads a team of data scientists focused on marketing analytics, including Marketing Mix Modeling, incrementality testing, attribution, and performance analytics. The team builds and maintains measurement frameworks, causal models, and analytical infrastructure to inform marketing budget allocation, channel strategy, and growth planning. The role requires deep technical expertise in marketing measurement and causal inference, as well as people leadership skills to build and manage a high-performing team.

What you'd actually do

  1. lead a team at the heart of how Zillow’s marketing organization makes data-driven decisions
  2. builds and maintains measurement frameworks, causal models, and analytical infrastructure that directly inform marketing budget allocation, channel strategy, and growth planning
  3. leads a team of data scientists who work in close partnership with Zillow’s global Marketing, Product, and Engineering stakeholders
  4. owning the measurement strategy for Zillow’s core marketing programs
  5. serving as the primary data science partner to senior marketing and business stakeholders

Skills

Required

  • 10+ years of experience in data science, marketing analytics, or applied measurement
  • 4+ years directly managing and developing data scientists
  • Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication
  • Strong working knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling)
  • Experience with performance forecasting and budget optimization in a marketing context
  • Demonstrated ability to lead a team of data scientists—setting direction, developing careers, and maintaining a high bar for quality and impact
  • Proven ability to manage and influence senior stakeholders across functions and geographies
  • Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders
  • Deep proficiency in SQL and Python or R; experience operating in production analytics environments
  • Comfort operating in a globally distributed team environment with US-based counterparts

Nice to have

  • Experience at a high-growth Indian consumer tech company
  • Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
  • Experience scaling and modernizing legacy marketing measurement infrastructure.
  • Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
  • Experience building or managing analytics teams across multiple geographies.

What the JD emphasized

  • Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication
  • Strong working knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling)
  • Experience with performance forecasting and budget optimization in a marketing context
  • Demonstrated ability to lead a team of data scientists—setting direction, developing careers, and maintaining a high bar for quality and impact
  • Proven ability to manage and influence senior stakeholders across functions and geographies
  • Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders
  • Deep proficiency in SQL and Python or R; experience operating in production analytics environments