Senior Data Scientist

About the team

Zillow is reimagining real estate to make home a reality for more and more people. As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.

Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.

About the role

Zillow Group is currently seeking a Sr. Data Scientist to join the Marketing Analytics and Data Science team. As a Sr. Data Scientist, you will play a vital role in developing the next generation of measurement models and methods aimed at providing insights and support decision-making for marketing stakeholders. 

This team works closely with the marketing organization to discover strategic opportunities in areas spanning brand marketing and performance marketing across channels like google, Facebook, TV & multiple business lines like rentals, B2C and B2B. In this role, you will play a crucial role in elevating our marketing measurement capabilities by developing a more holistic measurement strategy across various marketing campaigns, channels, and granularities. You will leverage your expertise in data analysis, causal inference techniques applied for marketing, experiment design, and marketing analytics to design and implement robust measurement models and collaborate with cross-functional teams to achieve marketing goals. More specifically you will:

Marketing Measurement Evolution:

• Conduct in-depth analyses of marketing campaign performance using advanced statistical methods and causal inference techniques.

• Design and execute rigorous experiments to measure the effectiveness of various marketing channels and strategies.

• Develop and maintain predictive models to optimize campaign targeting and maximize marketing effectiveness through channel optimizations.

Develop & execute holistic experimentation modeling framework:

• Lead the development and implementation of a comprehensive marketing experimentation platform encompassing various marketing channels, LOBs, and granularities.

• Identify opportunities to expand/ further develop the current experimentation platform's capabilities to support a wider range of metrics and channels.

• Design & implement a scalable experimentation platform for tests and other marketing experiments to test different marketing hypotheses.

• Develop robust statistical models to analyze experiment results and draw data-driven conclusions.

• Dive into Zillow's internal and third party data (think Hive, Presto, SQL Server, Tableau) to develop solutions that will help move the business forward and enable better decisions at a rapid speed.

Communication & Collaboration:

• Collaborate with data engineering teams to design and optimize data pipelines and workflows to support efficient & accurate data collection, storage, and processing. 

• Develop and maintain data pipelines for extracting, transforming, and loading (ETL) data relevant to marketing experiments.

• Provide insights and recommendations based on data analysis to improve marketing campaign effectiveness, customer targeting, and lead generation.

• Effectively communicate complex analytical findings to diverse stakeholders, translating technical concepts int