Senior Data Scientist, CRM & Personalization

Realtor.com Careers•Scottsdale, AZ

2d•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. The Senior Data Scientist, CRM Marketing, will be a key driver of data-informed customer relationship management strategies focusing on the Seller and Owner verticals. This role will leverage advanced analytical techniques to understand customer behavior, optimize marketing campaigns, personalize customer experiences, enhance lead generation and sales effectiveness, and ultimately contribute to increased customer engagement and revenue generation across both business lines. The ideal candidate will possess a strong analytical background, excellent communication skills, and a passion for leveraging data to solve complex business challenges in a dynamic real estate environment. Top Reasons to Apply: Massive, Visible Impact: We are sitting on a wealth of low-hanging fruit, meaning your work will directly drive consumer leads, retention, and revenue. True Strategy & Autonomy: You won't just be crunching numbers; you will have strong autonomy over data strategy and act as a crucial partner to product stakeholders. Own the Funnel Strategy: You will fill a critical gap by owning the analytical strategy for the Seller/Owner verticals, focusing on CRM channels like email and push notifications.

Requirements

Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related area.
5 years of related experience, with 2+ years as a Data Scientist, preferably with a focus on marketing analytics or CRM.
Proven experience in developing and implementing data-driven marketing strategies, including segmentation, targeting, and personalization.
Strong proficiency in statistical modeling, machine learning techniques (e.g., regression, classification, clustering), and data mining.
Experience with CRM platforms (e.g., Cordial, Braze) and marketing automation tools.
Excellent SQL skills and experience working with large datasets.
Proficiency in programming languages commonly used for data analysis (e.g., Python, R).
Strong data visualization skills and experience with tools such as Tableau or Power BI.
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
Strong problem-solving and analytical skills with a demonstrated ability to translate data into actionable business insights.
Ability to work independently and collaboratively in a fast-paced environment.

Nice To Haves

Experience in the real estate industry (Rental or New Construction) is a plus.
Familiarity with the new homebuyer journey and related data sources is a significant advantage.

Responsibilities

Develop and implement data-driven CRM marketing strategies including segmentation, targeting, and personalization initiatives.
Map and analyze the customer journey for sellers/owners identifying key touchpoints and opportunities for optimization through CRM interventions.
Build sophisticated segmentation models to identify and target potential audiences for specific seller/owner projects based on various data sources.
Design and execute personalized communication strategies and campaigns for consumers in both the Seller and Owner sectors.
Collaborate on the integration of CRM data with other relevant platforms to create a holistic view of the customer.
Establish KPIs and develop analytical frameworks to measure the effectiveness of CRM marketing campaigns across both business units, providing actionable insights for optimization.
Conduct in-depth analysis of consumer data to identify trends, patterns, and opportunities for improved engagement, retention, and cross-selling (where applicable).
Communicate complex analytical findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
Stay abreast of the latest trends and technologies in data science, CRM marketing, and the real estate industry.
Collaborate with Data Engineering and IT teams to ensure data quality, accessibility, and the development of necessary data infrastructure.
Partner with Marketing Managers to understand their specific needs and develop tailored analytical solutions.