Senior Data Scientist, CRM & Personalization
Realtor.com Careers · Austin, TX
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Jul 17, 2026
Austin, TX
Jul 21, 2026
What this job asks for AI summary
A senior data science role focused on CRM marketing for seller and homeowner audiences at an online real estate platform. Day-to-day work centers on building segmentation and personalization models, analyzing customer journeys, measuring campaign effectiveness, and collaborating with marketing and engineering teams. Best suited to someone with a quantitative background and hands-on experience in marketing analytics or CRM-driven data science.
Senior level · 5+ years · Unspecified · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The JD states '5 years of related experience, with 2+ years as a Data Scientist' — the 5-year figure is treated as the overall role-level minimum; the 2-year figure is a sub-requirement within that, not a separate skill the years demanded.
Bachelor's or Master's degree is listed as a requirement, but the phrasing 'or a related area' and the common industry practice of accepting equivalent experience led to treating this as None for hard degree gate; however, a quantitative degree is clearly expected.
Python and R are listed as interchangeable options ('e.g., Python, R') under the required qualifications section; Python is listed as the primary with R as an alternative.
Tableau and Power BI are listed as interchangeable options ('such as Tableau or Power BI') under required qualifications; Tableau is primary with Power BI as alternative.
Cordial and Braze are listed as example CRM platforms ('e.g., Cordial, Braze') under required qualifications; Cordial is primary with Braze as alternative.
Real estate industry experience (Rental or New Construction) is explicitly called 'a plus' and familiarity with the homebuyer journey is noted as 'a significant advantage' — both are preferred, not required.
The posting mentions a hybrid in-office model (3+ days/week) but does not specify a city or office location, so CBSA is left unspecified.
The role sits clearly in the ML/modeling/statistics space (segmentation models, classification, clustering, regression) targeting CRM marketing — 15-2051 Data Scientists is the primary code; 15-2031 is a plausible runner-up given the marketing analytics and reporting emphasis.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): real estate industry experience.
Read the full posting
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