Realtor.com is looking to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance, and the Data Science & Analytics team provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance.
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.
- 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.
