Senior Data Scientist

Zillow · Bengaluru

  • Experience6–10 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted2 Sept 2026
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About Zillow

Zillow is hiring in Bengaluru in real estate construction. This role looks for around 6+ years of experience.

Skills

  • marketing mix modeling
  • marketing attribution
  • incrementality testing
  • causal inference
  • geo-testing
  • difference-in-differences
  • synthetic controls
  • uplift modeling
  • performance forecasting
  • budget optimization
  • SQL
  • Python
  • R

The role

A data scientist at a technology company applies marketing science through marketing mix modeling, causal inference, and budget optimization, using SQL and Python to build measurement frameworks that guide marketing decisions. The role translates analytical methodology into executive recommendations across global teams.

Full job description

You bring experience from organizations where marketing analytics is taken seriously, whether that's a global technology company, an Indian consumer tech company, a data-driven marketing organization, or a specialist analytics firm. You understand the discipline of marketing science and the craft of building teams that do it well.

Requirements:

8+ years of hands-on experience in data science, marketing analytics, or applied measurement. Deep expertise in marketing mix modeling (MMM): methodology, tooling, business integration, and stakeholder communication.

Strong 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.

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:

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 Sets You Apart:

You build measurement frameworks that marketing leaders actually use to make decisions, not just deliver reports.

You communicate across the spectrum, from walking an analyst through a causal design to presenting budget implications to a CMO.

You hold a high bar for analytical credibility while being pragmatic about delivery timelines.

You build strong cross-geography partnerships.

You stay technically grounded even as your scope grows; you know when to go hands-on and when to step back.