Senior CRM Data Scientist — Personalization & Growth

News Corporation; Austin (TX); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, Rx, dental, and vision

13 Paid Holidays

Flexible Time Off

401(k) with company match

Tuition Reimbursement

Life/wellbeing programs

Job summary

Realtor.com is seeking a Senior Data Scientist for CRM Marketing in Austin, TX to lead data-driven CRM strategies for Seller and Owner verticals. You will apply advanced analytics to optimize campaigns, personalize customer experiences, and enhance lead generation across business lines.

You will develop segmentation models, measure campaign impact with KPIs, and collaborate with Data Eng/IT to ensure data quality and accessible infrastructure while partnering with Marketing to deliver tailored

Qualifications

• 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.

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.

Education

Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related area

Tools

Python

R

SQL

Tableau

Power BI

Cordial

Braze

Job description

Realtor.com is seeking a Senior Data Scientist for CRM Marketing in Austin, TX to lead data-driven CRM strategies for Seller and Owner verticals. You will apply advanced analytics to optimize campaigns, personalize customer experiences, and enhance lead generation across business lines.

You will develop segmentation models, measure campaign impact with KPIs, and collaborate with Data Eng/IT to ensure data quality and accessible infrastructure while partnering with Marketing to deliver tailored