Zillow Group
Sr. Data Scientist - Business Data Team
Zillow Group, Myrtle Point, Oregon, United States, 97458
About Zillow Group
About the team Zillow Group’s Business Data organization represents the next step forward in the company's dedication to integrate an improved set of B2B agent software & advertising products for customers and partners, their clients, and the real estate industry as a whole. Zillow has built and acquired a portfolio of market-leading products for agent productivity, listing media, showing coordination, transaction management and analytics solutions. Our wide array of products and services are built on technological innovations crafted to bring efficiencies to all users.
About the role The Business Data Science team within Zillow is hiring a Data Scientist to lead analytics to uncover insights to drive both better business decisions and customer experiences across our product portfolio.
You Will Get To:
Collaborate with team members across product, engineering, marketing, sales, operations, and more to develop evidence-based approaches to finding gaps & optimizing the customer experience.
Use advanced analytics, including clustering, propensity modeling, statistical knowledge, and other explanatory and causal inference techniques to gain a clearer picture of customer behavior.
Build compelling data stories and visualizations to inform and influence decision-makers.
Serve as a mentor and resource to other data scientists on the team.
Design and implement A/B tests, perform regression modeling, and provide recommendations for the product roadmap.
Additionally, we expect you to have:
An undergraduate or Master’s degree in a quantitative field (e.g. mathematics, engineering, statistics, finance, or similar)
5+ years of work experience involving quantitative data analysis and complex problem-solving. Experience working with product teams strongly preferred.
A strong understanding of statistical concepts, measurement issues, and inference techniques.
Proficiency in SQL, Excel, and either Python or R, along with some experience with Tableau, Mode, or other visualization software.
Extensive experience querying multi-terabyte-sized noisy data sets such as clickstream data.
Experience with ETL pipelines, scheduling and productionalizing is a plus.
Experience with A/B Testing, Experimentation, or Casual Inference
Strong written, verbal, and visual communication skills with the ability to work cross-functionally.
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 customers 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 that's reshaping an industry and helping more people make home a reality.
Fortune 100 Best Companies to Work For® in 2025, PEOPLE Companies That Care® 2025
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 identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
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About the role The Business Data Science team within Zillow is hiring a Data Scientist to lead analytics to uncover insights to drive both better business decisions and customer experiences across our product portfolio.
You Will Get To:
Collaborate with team members across product, engineering, marketing, sales, operations, and more to develop evidence-based approaches to finding gaps & optimizing the customer experience.
Use advanced analytics, including clustering, propensity modeling, statistical knowledge, and other explanatory and causal inference techniques to gain a clearer picture of customer behavior.
Build compelling data stories and visualizations to inform and influence decision-makers.
Serve as a mentor and resource to other data scientists on the team.
Design and implement A/B tests, perform regression modeling, and provide recommendations for the product roadmap.
Additionally, we expect you to have:
An undergraduate or Master’s degree in a quantitative field (e.g. mathematics, engineering, statistics, finance, or similar)
5+ years of work experience involving quantitative data analysis and complex problem-solving. Experience working with product teams strongly preferred.
A strong understanding of statistical concepts, measurement issues, and inference techniques.
Proficiency in SQL, Excel, and either Python or R, along with some experience with Tableau, Mode, or other visualization software.
Extensive experience querying multi-terabyte-sized noisy data sets such as clickstream data.
Experience with ETL pipelines, scheduling and productionalizing is a plus.
Experience with A/B Testing, Experimentation, or Casual Inference
Strong written, verbal, and visual communication skills with the ability to work cross-functionally.
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 customers 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 that's reshaping an industry and helping more people make home a reality.
Fortune 100 Best Companies to Work For® in 2025, PEOPLE Companies That Care® 2025
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 identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
#J-18808-Ljbffr