Applied Scientist, Forecasting

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 Zillows 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.

• Design and evaluate statistical econometric and machine learning methods for forecasting problems. Your work will play a central role in increasing forecast accuracy and accelerating delivery timelines

• Build backtesting and validation frameworks to assess forecast accuracy stability and downstream forecast impact.

• Own the endtoend modeling lifecycle including scoping feature engineering model development experimentation deployment monitoring and model explainability.

• Translate forecasts into clear insights and recommendations for senior leadership helping stakeholders understand drivers uncertainty and tradeoffs that guide Zillows strategy.

• Quantify uncertainty and clearly communicate model confidence limitations and trade-offs to technical and non-technical audiences.

• Partner crossfunctionally with finance product engineering marketing and operations to scale and improve forecasting capabilities across Zillow.

• Improve and contribute to shared forecasting tools data pipelines and processes used across the company.

• Collaborate with other applied scientists and data scientists to develop novel solutions to real estate and business problems.

• Advanced degree (PhD or Masters) in Economics Statistics Operations Research Data Science Computer Science Econometrics Mathematics or a related quantitative discipline or a related quantitative discipline with 3 years of experiences in professional applied scientist roles

• Strong experience with time-series forecasting nowcasting econometrics or related quantitative modeling techniques.

• Strength in data engineering principles to help envision efficient data solutions at scale.

• Experience explaining complex models and analytical concepts to stakeholders with non-technical backgrounds using clear takeaways and practical business framing.

• Experience building applied statistical or machine learning models that support real business decisions in production settings.

• Proficient in Python and SQL for data analysis model development validation and deployment.

• Comfortable working with incomplete delayed or noisy real-world data and designing robust estimation strategies.

At Zillow were reimagining how people movethrough the real estate market and through their careers.

As the most-visited real estate platform in the U.S. Zillow helps millions of customers navigate buying selling financing and renting with greater ease and confidence. Our teams in India play a critical role in building and scaling the technology products and operations that power this experience.

Whether youre working in tech operations or shared services youll collaborate with global partners to solve meaningful problems and help 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 2025 and included on the PEOPLE Companies That Care 2025 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 industryand your careerforward together.

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.