Lead Real Estate Data Science We are seeking a seasoned Senior Data Scientist to drive the evolution of our data science function and deliver production-ready machine learning solutions with measurable business impact. This is an exceptional opportunity for a visionary leader with a passion for data to join us and shape the future of real estate data analytics. As a key member of our data science team, you will lead the full development cycle of machine learning models, from prototyping and feature engineering to validation and deployment. Main Responsibilities: 1. Develop scalable and production-ready machine learning models. 2. Apply statistical techniques such as A/B testing and back-testing, especially in imbalanced classification problems where precision and recall are critical. 3. Support strategic initiatives like detecting property undervaluation, process automation, and creating predictive tools for new business verticals. 4. Translate complex findings into clear, actionable insights, delivering results to technical and non-technical audiences, including C-level stakeholders. 5. Mentor and guide junior team members, reviewing code, setting standards, and fostering a collaborative, high-performing culture. Qualifications: - At least 5 years of experience delivering end-to-end machine learning solutions in production environments. - Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; a Master's degree is a plus. - Advanced Python skills; proficient with pandas, NumPy, scikit-learn, and Jupyter. - Familiarity with PySpark and distributed data processing. - Strong understanding of supervised/unsupervised learning, deep learning, and ensemble methods. - Solid grounding in statistics, with real-world experience in imbalanced datasets. - Proficient in SQL; familiar with NoSQL systems. - Experience building visualizations and BI tools. - Able to mentor and support junior team members. - Strong analytical thinking and problem-solving mindset. - Fluent in English; able to communicate assertively in technical and leadership contexts. - Confident presenter with experience addressing executives and cross-functional teams. Nice-to-Have Skills: - Experience with MLOps (MLflow, SageMaker, Vertex AI, etc.). - Familiarity with cloud platforms (AWS, GCP, Azure). - Exposure to causal inference, experimentation platforms, and AutoML frameworks. - Domain knowledge in real estate, finance, or applied industry analytics. About Us: We revolutionize the real estate investment landscape by harnessing data for predictive insights and automation. Join us and help deploy robust models that directly drive strategic decisions and propel company growth. What We Offer: - Competitive base compensation - Performance bonus - Flexible PTO (up to 26 days per year) - Home office upgrade bonus - Health bonus - Full-time remote work - Ongoing support and budget to develop new skills