Senior Data Scientist - Real Estate

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.

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.

Benefits

Additional Information

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.

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