Senior Data Scientist – Real Estate

Senior Data Scientist – Real Estate (Remote, LATAM)

About Truelogic:

Truelogic is a leading provider of nearshore staff augmentation services, headquartered in New York. For over two decades, we have delivered top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, aiding their digital transformation journeys. Our team of over 600 highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on impactful projects.

By applying for this position, you are taking a significant step towards 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 are seeking a talented Data Scientist to join our team and enhance our capabilities, including the development of AI-enabled workflows on top of our data. You will collaborate closely with product, engineering, and brokerage operations teams.

Key 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 deploy 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.

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 any location with a laptop and reliable internet connection.
• Highly Competitive USD Pay: Earn excellent, market-leading compensation in USD.
• Paid Time Off: Benefit from paid time off policies to ensure you can unwind and recharge.
• Work with Autonomy: Manage your time effectively with a focus on results, not the clock.
• Work with Top American Companies: Grow your expertise 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.
• Diverse, Global Network: Connect with over 600 professionals in 25+ countries and collaborate with a multicultural team from Latin America.
• Team Up with Skilled Professionals: Join forces with seasoned experts and work with the best in your field.