Zillow Group's Business Data organization is looking to integrate an improved set of B2B agent software & advertising products, and the Data Scientist will lead analytics to uncover insights to drive better business decisions and customer experiences across their product portfolio.
Requirements
- 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
- Experience with ETL pipelines, scheduling and productionalizing is a plus.
Responsibilities
- 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.
- Design and implement A/B tests, perform regression modeling, and provide recommendations for the product roadmap.
- Collaborate with team members across product, engineering, marketing, sales, operations, and more to develop evidence-based approaches to finding gaps & optimizing the customer experience.
- Serve as a mentor and resource to other data scientists on the team.
Other
- 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.
- Strong written, verbal, and visual communication skills with the ability to work cross-functionally.
- This role has been categorized as a Remote position.
