Senior Data Scientist

Zillow Group Inc.; Bengaluru; On-site; INR 11,331,445 - 15,108,593; Full time

Job summary

Zillow Group Inc. is seeking a Data Scientist in Bengaluru, India, to support marketing analytics initiatives. The role requires at least 8 years of experience and a deep understanding of marketing mix modeling and causal inference methods.

This position necessitates effective communication with senior stakeholders and working in a globally distributed team. A competitive compensation package and incentive compensation are offered based on experience and performance.

Qualifications

• Minimum 8 years of experience in data science or marketing analytics.
• Deep expertise in Marketing Mix Modeling (MMM).
• Ability to manage and influence senior stakeholders.
• Strong proficiency in SQL and Python or R.

Responsibilities

• Support workforce expansion in India at Zillow Group.
• Develop measurement frameworks used by marketing leaders.
• Communicate complex methodology and implications to senior leaders.
• Operate in a globally distributed team environment.

Skills

Data science

Marketing analytics

Marketing Mix Modeling (MMM)

SQL

Python

R

Causal inference methods

Stakeholder communication

Tools

dbt

Databricks

Snowflake

Airflow

Job description

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 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.

About the role

This role supports workforce expansion in India at Zillow Group. You will 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.

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.

Office Position

Employees will work at the Zillow India office for approximately 80–100 percent of their time each month and must live within a reasonable commuting distance of the office. The company does not define a specific distance; employees are expected to use their judgment and understand the implications for time commitment and cost of daily commute.

Compensation

In addition to a competitive base pay, employees in this role are eligible for incentive compensation subject to applicable laws and relevant Zillow policies. Actual amounts will vary depending on experience, performance and location.

Equal Opportunity Employer

Zillow Group is an equal‑opportunity employer committed to fostering an inclusive, innovative environment with the best employees.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, maternity status, HIV status, or veteran status.

Reasonable accommodations will be provided to candidates with disabilities, in accordance with applicable policies.