Data Scientist, Product Analytics at Realtor.com Careers

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistical Methods, SQL, Python, R, A/B Testing, Regression Modeling, Customer Behavior Prediction, Marketing Impact Forecasting, Collaboration, Analytics, Causal Inference, Econometrics, Measurement Best Practices, Optimization, Team Player

Industry

Software Development

Description

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 data-driven 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 business 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: Work collaboratively with product and engineering to establish measurement best practices across performance media, CRM and organic channels. Design, implement, and readout A/B tests, perform regression modeling, and provide recommendations for http://Realtor.com lead growth and revenue maximization Apply advanced analytics and modeling techniques to predict customer behavior and forecast marketing impact. Proactively identify areas of opportunity in our personalization efforts through optimization of marketing strategies and experimentation. Learn from the best and build on a cutting edge tech stack that allows for rapid skill development. Present your findings to the team and leadership with high visibility across the organization. What you’ll bring: 2+ years of related experience in analytics or data science. Robust analytics skills 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. Strong SQL and either intermediate Python or R. Highly collaborative and a team player. Four-year college or university degree in computer science, computer engineering, statistics, mathematics, information management, or a related discipline. Preferred qualifications: Prior experience with CRM Expertise in Causal Inference Ph.D in Economics/Finance with a focus in Econometrics How We Work: We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. How We Reward You: Realtor.com® is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: 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.

Responsibilities

The Data Scientist in Product Analytics will analyze trends and apply advanced quantitative techniques to drive business growth. This role involves collaborating with product teams and presenting insights to senior leadership to shape strategic decisions.