Senior Data Scientist, Avail

Realtor.com Careers•Austin, TX

5h•Hybrid

About The Position

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. 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 a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you’ll have the opportunity to make a meaningful impact – shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S. Role Description We are seeking a Senior Data Scientist with a strong background in machine learning, experimentation, strategic analytics, and cross-functional stakeholder support to help shape the future of our Data Science program at Avail. As a trusted partner to the Avail leadership team, you will be the vital link between complex data and pivotal business moves, striving to enable and empower data-driven decision making across the business. In this role, you will analyze large and complex data sets, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical decisions across strategy, product, marketing, and operations. The ideal candidate is a detail-oriented data science expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment and driven by a desire to make things better.

Requirements

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, 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.
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.

Nice To Haves

Master's or Ph.D. degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
Experience creating business intelligence reports using Tableau, Mixpanel, Power BI, or similar tools.
Familiarity with revenue or monetization analytics.
Experience in the tech sector, especially marketplace or property tech.

Responsibilities

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.
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.