Realtor.com is seeking a Senior Data Scientist to help shape the future of their Data Science program at Avail, providing trusted data and insights to optimize consumer and customer experience, and drive commercial performance.
Requirements
- SQL & Python proficiency is a must, with 6+ years of experience.
- Strong capability to work with complex data sets and perform EDA, descriptive, diagnostic, and predictive analyses.
- Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.).
- Experience with cloud-based data environments such as Snowflake and AWS.
- Proven experience using data science to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities.
- Experience creating business intelligence reports using Tableau, Mixpanel, Power BI, or similar tools.
- Familiarity with revenue or monetization analytics.
Responsibilities
- Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into data science problems.
- Independently conduct end-to-end data science work from data collection, ETL, model development/analysis, to the delivery of insights and recommendations.
- Serve as Avail’s Data Science expert and own experimental design and advanced statistical analysis best practices; provide consultation and collaborate closely with colleagues conducting research/experiments in product, marketing and beyond.
- Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences.
- Build and grow adoption of self-service solutions that empower stakeholders to access data and insights, and hence accelerate data-driven decision making.
- Work with Avail leadership team on strategic initiatives and planning, providing analytical support on financial modeling, forecast, opportunity sizing, and so on.
- Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work.
Other
- Bachelor’s degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
- 6+ years of relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role.
- Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences at different levels.
- Experience in collaborating with cross-functional partners.
- Self-motivated and self-managing, with strong time management, documentation, and organizational skills.
