Sr. Data Scientist, Search & NLP Analytics

Posted 4 Hours Ago
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Austin, TX, USA
Hybrid
Senior level
Big Data • Real Estate • Software
Realtor.com® is an open real estate marketplace built for everyone.
The Role
Lead NLP analytics for semantic search and conversational queries using LLM-based evaluation. Extract intent and behavioral signals from query logs, prototype data products and features for ranking and personalization, design experiments, and partner with product and engineering to measure and improve search and AI-driven experiences.
Summary Generated by Built In

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.

About the Role

As a Senior Data Scientist on our Search & Algorithms team, you'll own NLP analytics for our next-generation semantic search experiences. You'll apply NLP and LLM-based techniques to a proprietary corpus of millions of real consumer search interactions—extracting signals like buyer vs. seller intent and conversational patterns to improve how our models rank and personalize results. You'll also prototype data products that turn those signals into features product and engineering can ship.  This is an AI-native role: LLM evaluation tooling and AI-assisted workflows are core to how you'll work, not afterthoughts. 

What You'll Do
  • Measure and evaluate semantic search models using NLP and LLM-based evaluation frameworks on real user queries—surfacing buyer vs. seller context, exploration vs. transaction signals, and conversational patterns that inform ranking and personalization.
  • Prototype data products that leverage conversational query data and behavioral signals to drive personalized search experiences, translating NLP insights into actionable features for product and engineering teams.
  • Design tests for search model changes; define primary and guardrail metrics; communicate results clearly to both technical and non-technical stakeholders.
  • Instrument and analyze conversational AI data using LLM observability and evaluation tooling—tracking model outputs, scoring response quality, and surfacing patterns across large volumes of AI-generated interactions to inform model and product improvements.
  • Partner with search product and engineering leadership to define success metrics, shape the analytics roadmap for search, and present findings to senior leadership.
  • Work in an AI-native way: apply agentic AI workflows, LLM APIs, and AI-assisted development to accelerate your work and help set the standard for how our team uses AI. Actively evaluate and adopt new tooling as the space evolves.
What You'll Bring
  • 5+ years in data science, with 2+ years focused on NLP, text analytics, or search analytics.
  • Hands-on NLP experience: query classification, intent detection, semantic similarity, entity extraction, or LLM-based evaluation.
  • Strong Python skills and proficiency with NLP libraries (Hugging Face, spaCy, scikit-learn, or similar).
  • Experience analyzing conversational and LLM-generated data using observability or evaluation tooling (e.g., Langfuse, Braintrust, or similar platforms for tracing, scoring, and evaluating AI outputs).
  • Robust SQL skills and comfort working with large-scale clickstream or query log datasets.
  • Solid experimentation fundamentals: A/B testing, power analysis, and statistical inference.
  • Ability to build rapid prototypes and translate analytical findings into product-ready recommendations.
  • Excellent communication skills—able to present NLP and AI concepts clearly to product and executive stakeholders.
  • Bachelor's or Master's degree in Computer Science, Statistics, Linguistics, Information Science, or a related field.
Preferred Qualifications
  • Experience with search ranking analytics, query log analysis, or information retrieval measurement.
  • Hands-on experience with LLM APIs (OpenAI, Claude, Gemini, or similar) and prompt engineering for evaluation, scoring, or analytical tasks.
  • Experience working with LLM observability platforms (Langfuse, Braintrust, or similar) to instrument, trace, and evaluate AI product performance at scale.
  • Prior work in consumer-facing search products or two-sided marketplace analytics.
  • Experience with Snowflake or similar cloud data warehouses.
  • Ph.D. in Computer Science, Computational Linguistics, NLP, or a related field.
How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more 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.

Skills Required

  • 5+ years in data science with 2+ years focused on NLP, text analytics, or search analytics
  • Hands-on NLP experience (query classification, intent detection, semantic similarity, entity extraction, LLM-based evaluation)
  • Strong Python skills
  • Proficiency with NLP libraries (Hugging Face, spaCy, scikit-learn, or similar)
  • Experience analyzing conversational and LLM-generated data using observability/evaluation tooling (e.g., Langfuse, Braintrust or similar)
  • Robust SQL skills and experience with large-scale clickstream or query log datasets
  • Solid experimentation fundamentals (A/B testing, power analysis, statistical inference)
  • Ability to build rapid prototypes and translate analytical findings into product-ready recommendations
  • Excellent communication skills for technical and non-technical stakeholders
  • Bachelor's or Master's degree in Computer Science, Statistics, Linguistics, Information Science, or related field
  • Experience with search ranking analytics, query log analysis, or information retrieval measurement
  • Hands-on experience with LLM APIs (OpenAI, Claude, Gemini, or similar) and prompt engineering
  • Prior work in consumer-facing search products or two-sided marketplace analytics
  • Experience with Snowflake or similar cloud data warehouses
  • Ph.D. in Computer Science, Computational Linguistics, NLP, or related field

What the Team is Saying

Meek
Joyce
O'Shea
Gus
Tricia
Justin K.
Rachel S.
 Francisco (Javi) T.
Colleen C.
 Sneha R.
Bryan E.
Jeremy H.
Courtney L.
Maria R F.
Beth T.
Rhonda A.
Harlee S.
Ryan V.
Rhonda A.
Ryan V.
Rhonda A.
Rhonda A.
Rachel S.
Santosh P.
Ryan R.

Realtor.com Compensation & Benefits Highlights

  • Parental & Family Support Parental leave for primary caregivers is described as generous, alongside backup child and elder care and adoption assistance. Fertility and family‑building benefits, lactation support, and caregiving resources reinforce strong family support.
  • Inclusive Benefits Coverage Health coverage includes options for gender‑affirming care, reproductive and fertility services, autism support, and mental‑health resources for adults and children. Multiple medical, dental, and vision plans and telemedicine extend access across diverse needs.
  • Retirement Support An employer‑matched 401(k) with Traditional and Roth options, plus employer‑paid disability and basic life coverage, offer a solid financial safety net. The match is characterized as decent and reliable for a mid‑size tech/real‑estate platform.

Realtor.com Insights

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The Company
HQ: Austin, TX
1,400 Employees
Year Founded: 1995

What We Do

For years, millions of home shoppers have turned to realtor.com® to find their dream home. Operated by Move, Inc., realtor.com® offers a comprehensive list of for-sale properties, as well as the information and tools to make informed real estate decisions. Today, more than ever, realtor.com® is The Home of Home Search℠. Realtor.com® also offers homeowners a bevy of useful tools and resources through the My Home℠ dashboard. My Home℠ dashboard allows property owners to manage their home like the important investment it is by tracking their home’s value over time, researching and managing home improvements, and scouting other similar properties in the neighborhood.

Why Work With Us

The way home begins with you. With a diverse team of experts alongside you, you’ll help us reach new heights at the forefront of the digital real estate space. Bring your extensive knowledge and deep expertise and collaborate with other passionate visionaries to lead our industry and revolutionize the way people find home, in every form.

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Realtor.com Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Enjoy the flexibility of our hybrid policy—simply choose whichever three days a week work best for you to come into any of our offices.

Typical time on-site: 3 days a week
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HQAustin, TX
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New York, NY
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Scottsdale, AZ
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