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. The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance. Avail, part of Realtor.com, is transforming how independent landlords and tenants manage the rental experience and needs a Senior Data Scientist to help shape the future of their Data Science program.
Requirements
- 6+ years of relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy).
- 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.
Responsibilities
- 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.
- 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.
- Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into data science problems.
- If the required data is not available, work with the team to identify the right data sources, and build analytical data layers in collaboration with the data engineering partner.
Other
- Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into data science problems.
- Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences.
- 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.
