Senior Data Scientist – Real Estate

Remote from
LATAM flag
LATAM
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
12 Jul 2026
Experience level
Senior
Views / Applies
13 / 3

About Truelogic

Accelerate Your Digital Transformation

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

Truelogic is seeking a Senior Data Scientist for a tech-forward real estate client. The role involves building predictive models, RAG pipelines, and knowledge graphs, while analyzing MLS data and designing product experiments. The ideal candidate has 5+ years of experience in data science, strong SQL and Python skills, and a proven track record of deploying LLM-powered workflows. This is a 100% remote position with competitive USD compensation and a focus on autonomy and results.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role requires advanced machine learning, RAG pipeline development, and production deployment, indicating a high level of technical complexity and problem-solving.

Salary Analysis

Median Market Rate
$150,000
US Market
$120k – 200k
0 $220k
AI Insight The salary is not specified, but market data suggests a range of $120,000 to $200,000 for Senior Data Scientists in real estate, with a median around $150,000. The role's seniority and required skills likely command compensation at the higher end of this range.

Key Skills

Data Science Machine Learning Predictive Modeling SQL Python RAG LLM A/B Testing Databricks Real Estate Analytics

Dear Hiring Manager,

I am thrilled to apply for the Senior Data Scientist position at your real estate brokerage. With over 5 years of experience in data science and machine learning, I have successfully built predictive models and RAG pipelines in production environments. My expertise in SQL, Python, and A/B testing aligns perfectly with your requirements.

I am particularly drawn to the opportunity to work with cutting-edge technologies like LLMs and knowledge graphs to drive actionable insights in real estate. I look forward to collaborating with your engineering and product teams to deliver data-driven solutions.

Thank you for considering my application. I am excited about the possibility of contributing to your team's success.

Sincerely,
[Your Name]

How would you build a lead scoring model for a real estate brokerage?
I would start by collecting historical lead data including interactions, property views, and conversion outcomes. I would engineer features from agent and listing attributes, then train a gradient boosting model. I would evaluate using AUC and precision-recall, and deploy via an API for real-time scoring.
Describe your experience with RAG pipelines in production.
I have built RAG pipelines for document Q&A systems. I used vector embeddings with a retrieval step using FAISS, then integrated with GPT-4 for generation. The pipeline was deployed on AWS Lambda with API Gateway, handling thousands of queries daily.
How do you design and analyze A/B tests for product features?
I determine sample size using power analysis, randomize users into control and treatment, and track key metrics like conversion rate. I use t-tests or bootstrapping for significance, and segment results by user characteristics to ensure robustness.
Explain a complex SQL query you've written for data transformation.
I wrote a query in Databricks to join multiple tables (listings, agents, sales) and compute rolling averages of days on market. It used window functions and conditional aggregations, and was optimized with partitioning and indexing for performance.
How would you translate an ambiguous business question into a data-driven recommendation?
I would first clarify the business goal through stakeholder discussions. Then I would break it into measurable components, explore data availability, and build an analysis plan. I would present findings with visualizations and actionable steps.

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Our client is a premier, tech-forward real estate brokerage and media firm designed for the marketplace of tomorrow. Originally founded by one of the top-ranked sales teams in New York City, this full-service organization has successfully disrupted the traditional real estate model by fusing luxury property brokerage with an internal media powerhouse.

Job Summary

We’re looking for a data scientist to plug into our team and help us get more out of it, including building AI-enabled workflows on top of our data. You’d work alongside product, engineering, and brokerage ops.

Responsibilities

  • Build and deploy advanced predictive models for lead scoring, agent matching, price and time-on-market estimation, and conversion likelihood.

  • Develop production-grade RAG and GraphRAG pipelines, construct complex knowledge graphs across listings, agents, and clients, and design retrieval and ranking systems for unstructured data.

  • Write robust data transforms in Databricks (using SQL and PySpark) and author highly performant SQL queries across ClickHouse and PostgreSQL.

  • Partner closely with engineering teams to ship model and LLM outputs to production environments, frequently utilizing Inngest.

  • Analyze MLS data to surface actionable market trends and directly feed data-driven product features.

  • Design and analyze product experiments utilizing PostHog, and build comprehensive dashboards and analyses within Hex and Metabase.

  • Act as a strategic partner by translating ambiguous business questions into clear, actionable, and data-backed recommendations.

Qualifications and Job Requirements

  • 5+ years of experience in data science or applied machine learning within a product-led company.

  • Exceptional SQL proficiency, with mandatory experience in PostgreSQL (ClickHouse experience is a strong plus).

  • Solid hands-on Python expertise, specifically with libraries such as pandas, scikit-learn, and statsmodels.

  • Proven experience applying core ML concepts, including regression, classification, forecasting, and clustering, to real-world problems.

  • Demonstrated success building and deploying RAG or LLM-powered workflows in a live production environment, going beyond simple prototypes.

  • Strong background in A/B test design, execution, and statistical analysis.

  • Hands-on experience with modern notebook or BI platforms (e.g., Hex, Metabase, Mode) and product analytics tools (e.g., PostHog, Amplitude, Mixpanel)

  • Exceptional communication skills with a proven ability to explain complex technical concepts to non-technical stakeholders.

What We Offer

  • 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.

  • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.

  • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.

  • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.

  • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’ll Like Working Here

  • A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.

  • Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.

  • Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you’re working with the best in your field.

Apply now!

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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