As the Quantitative Research Lead, you’re responsible for starting the function of strategic horizontal programs for Quantitative research at ZRI. Your team will cover horizontal investments for Zillow that expand multiple lines of business. Your team will develop performance measures that will track the user experience of our online assets and for product, and market research to understand our user segments to inform marketing strategies. You will work closely with the other two quant disciplines in the team, Population Science and Behavioral Science and with our colleagues in Data Science.
You’ll provide our data-hungry team with information to make confident product and market decisions centered on customer needs.
Our mission is to make Zillow the most-loved place to discover, buy, sell, or rent a home. If you enjoy working across functions and want to be involved in some of the company’s biggest initiatives, then this job is for you!
Responsibilities
- Set up the vision and roadmap for Strategic Quant Horizontal programs Research at Zillow Group.
- Build and develop a team of quant researchers reporting to you.
- Lead advanced quantitative research through the entire research cycle (e.g. ideation, design, analysis, dissemination)
- Metric development, survey work, market research, large scale data analysis.
- Work closely with marketing, product, and other researchers in the team.
- Work alongside with the Population Science and Behavioral Science leads to move the discipline of quantitative work forward within Research and Insights.
- Engage partners in research, present actionable findings, and influence stakeholders to take action. Collaborate with Director, Senior Directors, and VP level team members who will seek expertise and advice.
- Create frameworks, templates, and processes to scale research capability across the team.
- Identify and solve critical problems facing multiple teams or the organization. Trusted expertise is relied upon by people across the company. Find opportunities and define problems in the domain. Coordinate alignment and delivery of complicated multi-team projects in collaboration with technical and non-technical stakeholders.
- Regularly introduce and adapt ideas from the community to solve problems at a cross-functional level. Proactively innovate by taking calculated risks with potentially significant rewards to solve critical business problems after carefully analyzing the feasibility, impact, and alignment of the proposed solutions with organizational objectives.
- Serve as an essential translation layer, acting as the conduit between science, engineering, and product, bridging functional gaps and bringing the point of view of the customer.
- Work through ambiguity to translate business and customer objectives into concrete metrics for measurement and evaluation with profound insight and strategic thinking. Subject matter expertise in both internal and external measurement tools and processes. Apply expertise to pioneer new approaches to measurement and evaluation that drive significant improvements in business operations and product innovation.
- Actively ensure data integrity, consistency, and alignment across teams as an integral part of the work. Drive innovation and continuous improvement of data systems using deep knowledge of data. Data-driven insights benefit the entire business across multiple teams.
- Lead multiple projects independently, prioritize business objectives, and deliver high-quality work on time, across multiple business lines.
- Mentor more junior team members and develop their careers.
- Expected to travel around 3-4 weeks a year to participate in in-person working sessions and retreats with colleagues.
- Contribute, learn, grow, and have fun!
Qualifications & Experience
- PhD in consumer behavior, marketing, social psychology, communication, economics, sociology, or a related quantitative discipline is a prerequisite for applicants. They should have a passion for keeping up with the literature in their related field to advance research methodology at Zillow.
- 10+ years leading end to end quantitative research to address insights & marketing questions in an industry setting.
- 4+ years of experience leading quantitative researchers.
- Expertise in advanced survey design (including sampling & weighting), quasi-experimental, and experimental research methods, including discrete-choice modeling, advanced regression techniques, conjoint analysis, and segmentation.
- Understand trade-offs between methods and when each are best suited to address a business problem.
- Proficient with data analysis using at least one programming language, such as R, Python, C++ or similar, and experience with SQL
- Proficient with statistics and statistical modeling. Experience with advanced statistical modeling such as Structural Equation Modeling is a plus.
- Experience with applied AI / Machine Learning tools for data analysis is a plus.
- Advanced user of Qualtrics, or similar tools for survey hosting and collection.
- Experience with Market research such as willingness-to-pay, price sensitivity estimation.
- Strong communication and collaboration skills.
- Experience translating research findings into product & marketing improvements and describing why they matter to customers and business.
- Experience presenting findings, engaging partners in research, and influencing them to take action.
- Experience prioritizing research activities to deliver practical insights and direction quickly
