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.
Data Scientist, Product Analytics
Who We Are
Realtor.com® is your one stop shop for homebuyers, sellers, and renters. We make it easy for consumers to choose a place to live whether it’s renting a condo or buying new construction. For over 20 years, millions of home shoppers and renters have turned to Realtor.com® to find their dream home or rental.
About The Role
A Data Scientist in Product Analytics harnesses data to drive business growth by analyzing trends, applying advanced quantitative techniques, and advising on product roadmaps. This role involves collaborating with product teams to drive innovation and contributing insights that shape strategic decisions. It's an exciting opportunity for those passionate about combining data analysis with commercial acumen to influence and accelerate business success. Our team structure allows you to partner with senior leadership and present your findings to executives. If you’re keen on learning product growth strategies, becoming a data expert, and pursuing your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Data Scientist, Product Analytics and help change the world of real estate, one home at a time.
What you’ll do:
- Business Performance Reporting, Visualization and Analysis: Be the primary partner for our cross-functional stakeholders to understand product performance across our consumer product funnels and search algorithms. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
- Deep-Dive Analysis: Use advanced techniques (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to analyze consumer product performance at a lead and feature level. Create a rich understanding of how people are interacting with product features and use these insights to then make recommendations.
- Opportunity Identification and Sizing: Both to set goals and help evaluate potential product enrichment opportunities, you will be tasked with forecasting and opportunity sizing. This will help our Product stakeholders understand the short-run and long-run dynamics of proposed changes to our product strategy, and create targets for driving business performance as well as optimize lead generation and funnel improvement opportunities.
- Partnership and Communication: Partner closely with our Product stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data architecture, data visualization, data modeling, and testing platforms.
- Present your findings to the team and leadership with high visibility across the organization
- Learn from the best and build on a cutting edge tech stack that allows for rapid skill development with AI.
What you’ll bring:
- 2+ years of related experience in analytics or data science.
- Robust analytics skills including strong SQL experience and ability to work with and analyze large volumes of complex data.
- Be a subject matter expert on measurement and statistical analyses for your stakeholders. Strong analytical thinking and ability to make data-driven decisions using statistical methods
- Experience with data exploration and visualization tools like Tableau, Looker, Shiny, Streamlit
- Comfort working in a collaborative, highly agile, intensely iterative environment
- Four-year college or university degree in computer science, economics, statistics, mathematics, analytics, or a related discipline.
Preferred qualifications:
- Prior experience with clickstream data or in product analytics, including using tools like Amplitude or Mixpanel
- Expertise in applied experimentation and statistics concepts (e.g. confidence intervals, hypothesis testing, regression analysis, etc.)
- Master's or PhD
- Inclusive and Competitive medical, Rx, dental, and vision coverage
- Family forming benefits
- 13 Paid Holidays
- Flexible Time Off
- 8 hours of paid Volunteer Time off
- Immediate eligibility into Company 401(k) plan with 3.5% company match
- Tuition Reimbursement program for degreed and non-degreed programs
- 1:1 personalized Financial Planning Sessions
- Student Debt Retirement Savings Match program
- Free snacks and refreshments in each office location
Do the best work of your life at Realtor.com®
Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.
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