Senior Data Scientist

New
T
TruelogicReal Estate
Location: LatAmFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
PostgreSQLPythonSQLMachine LearningClickhouseA/B testingDatabricksLLMPySpark

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.
  • 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.

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.
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