Volver

Senior Data Scientist – Real Estate

CompraTica Empleos

EMP:Technology
LATAM
Tiempo Completo
Remoto
0 vistas

Descripción

Acerca de

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.

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.

Habilidades

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.

Responsabilidades

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.

¿Te interesa? Aplicá ahora