Senior Applied Scientist

Job Summary

Owning complex applied-science problems end-to-end, the full-time Senior Applied Scientist will work remotely to develop and evaluate machine learning and LLM-based approaches, enhancing customer experiences in the real estate sector.

Key responsibilities

• Identify opportunities and form hypotheses through data analysis, modeling, experimentation, and production iteration
• Develop reliable datasets and design online experiments that connect model quality to customer and business outcomes
• Collaborate with engineering, product, design, and science teams to implement promising methods into production capabilities

Required qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related field, plus 8+ years of relevant experience
• Strong foundations in applied machine learning and statistical modeling, demonstrated through model development and production impact
• Experience with large-scale datasets, experimentation, and model-performance measurement
• Practical understanding of LLM-based systems and their application to new problems
• Proficiency in Python and SQL, with the ability to create tested, reusable code for production systems