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Salary
≈ $25k – $51k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 9, 2026. Zillow scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Zillow Group is a Seattle-headquartered online real estate marketplace whose apps and websites let people search homes for sale and rent, estimate property values with the Zestimate and connect with agents, lenders and landlords. Founded in 2006 by former Microsoft and Expedia executives including Rich Barton and Lloyd Frink, the Nasdaq-listed company also runs Zillow Home Loans, Zillow Closing, rentals and advertising businesses, with engineering teams in Bengaluru and Mexico City. It recruits software and machine learning engineers, data scientists, product managers, mortgage loan officers, underwriting and closing staff, and sales and marketing specialists.

About the team

You are a technically strong and commercially minded data scientist with deep expertise in marketing measurement and analytics. You understand how MMM, attribution, and causal inference connect to real marketing investment decisions, and you have the leadership presence to influence how those decisions get made. You combine statistical rigor with the ability to develop people and drive delivery in a distributed team environment. You are comfortable operating as both a strategic thought partner to senior stakeholders and a hands-on technical reviewer for your team’s most challenging work.

Zillow Group is a strategic, mission-driven organization focused on delivering exceptional experiences and measurable outcomes. Our work spans cross-functional partnership, scalable programs and operational excellence in support of Zillow’s mission. We bring deep experience working across diverse teams in a dynamic, high-growth environment, balancing strategic thinking with hands-on execution to drive meaningful business impact. We are seeking an experienced professional to support our workforce expansion in India.

About the role

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.

Required Qualifications

  • 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.

This role has been categorized as an Office position. “Office” employees regularly work at the Zillow India office for approximately 80 to 100 percent of their time each month. Employees must live within a reasonable commuting distance of the office. Zillow has not defined a reasonable distance, and expects employees will use judgment in determining this for themselves and understand the implications re: time commitment and cost of daily commute.

Who you are

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

Get to know us

At Zillow, we’re reimagining how people move-through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help people navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company reshaping an industry and helping more people make home a reality.

Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2026, and included on TIME’s America’s Best Companies 2026 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together.

Zillow Group is committed to fostering an inclusive, innovative environment and to providing equal employment opportunities. We comply with applicable laws that prohibit discrimination in employment and recruitment.

If you have a disability or special need that requires accommodation during the recruitment process, please contact your recruiter directly.

Qualified applicants will be considered for employment in accordance with applicable law.

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