Data Scientist - Business Data Team

_hackajob is collaborating with Zillow to connect them with exceptional tech professionals for this role.

_Data Scientist - Business Data Team

About The Team

Zillow Group's acquisition of ShowingTime in 2021 represents the next step forward in the company's dedication to integrate an improved, more efficient showing process to benefit customers and partners, their clients and the real estate industry as a whole.

The new ShowingTime+ organization is a market leader in developing innovative showing management, feedback, offer management, recruiting, 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 Product Analytics team within Showingtime+ 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, operations, and more to develop evidence based approaches to finding gaps in 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 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 Showingtime+'s roadmap.

Who You Are

You are ready to bring your data and analytics expertise to transform what it means for the real estate industry to unlock the ability for consumers to dream, search, and find a home. You have an appreciation of the unique challenges posed by business to business product development and go-to-market.

Additionally, We Expect You To Have

• An undergraduate or Master’s degree in a quantitative field (e.g. mathematics, engineering, statistics, finance, or similar)
• 4 - 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.