PandasPostgresPySparkPythonScikit-LearnSQLMachine LearningMLLLMRAGscikit-learnAnalyticsBIDatabricksStatistical AnalysisPostgreSQLCommunicationRemote Work
About this role
Role Overview
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.
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.
Tech Stack
Pandas
Postgres
PySpark
Python
Scikit-Learn
SQL
Benefits
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.
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.