FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior Data Scientist – Real Estate
Truelogic SoftwareData Scientist developing AI-enabled workflows at a tech-forward real estate brokerage. Partnering with teams to deploy predictive models and data-driven features.
Tech Stack
Tools & technologiesPandasPostgresPySparkPythonScikit-LearnSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
predictive modelinglead scoringagent matchingprice estimationtime-on-market estimationconversion likelihooddata transformsSQLPySparkmachine learning
Soft Skills
communicationstrategic partnershipdata-driven recommendationsproblem-solvingcollaboration