Realtor.com is looking for a data science leader to optimize the consumer and customer experience on their two-sided platform, driving commercial performance and supporting the growth of their Avail brand, which aims to transform the rental experience for independent landlords and tenants.
Requirements
- SQL fluency is a must, with 5+ years of experience.
- 3+ years of experience using a scripting language like Python or R.
- Significant experience with experimentation in a business context, including test design, execution, tracking and analysis of results, and readout/recommendations.
- Experience with cloud-based data environments such as Snowflake and AWS.
- Experience building and managing analytic data layers. Knowledge of ETL processes, data environments, data governance principles, etc. Knowledge of DBT, Airflow, and Snowflake preferred.
- Experience in leading reporting/data visualization capabilities (using Tableau or similar tools). Understanding of infrastructure, monitoring, and alerting necessary to support highly visible and business-critical reporting.
- Demonstrated ability to develop a roadmap for complex technical initiatives and effectively communicate progress against that roadmap.
Responsibilities
- Lead and mentor a team of data scientists and business analysts, providing technical guidance and career coaching, establishing the frameworks for managing and executing work, ensuring quality of work and on-time completion, and fostering a culture of collaboration and innovation.
- Develop data and analytics strategies that are aligned with business goals and priorities.
- Partner closely with stakeholders to understand/clarify needs and requirements, and work with team members to conduct analysis and/or develop data science solutions to address the needs.
- Work with large and complex data sets to solve a wide array of challenging problems using different data science methods including but not limited to regression, classification, time series, cluster analysis, and advanced machine learning algorithms.
- Create trusted analytic data layers that serve as the single version of truth and enable wide access to key data and metrics.
- Build and continuously improve reporting capabilities (e.g., Mixpanel and Tableau dashboards) that provide self-serve access to valuable insights about the business and empower decision making. Carry out deep-dive analysis to explain observations and trends.
- Build data science models to surface actionable insights from large and complex data, predict trends or customer propensity, and optimize operations and resource allocations.
Other
- Bachelor’s degree, ideally in a quantitative field (e.g., Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science, Computer Science).
- 6+ years of professional experience in data science and analytics, with 2+ years experience managing people.
- Strong communication skills for stakeholder engagement and team leadership.
- Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities.
- Experience in collaborating with cross-functional partners.
