Sr. Data Scientist - Business Data Team
About The Position
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. 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.
Requirements
- 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 A/B Testing, Experimentation, or Casual Inference
- Strong written, verbal, and visual communication skills with the ability to work cross-functionally.
Nice To Haves
- Experience with ETL pipelines, scheduling and productionalizing is a plus.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
