Lead Data Scientist: Shape Strategy with AI & Analytics

Compass Real Estate - Peninsula; Los Angeles (CA); On-site; USD 176,000 - 195,000; Full time

Benefits offered by this job

401(k) plan

FSAs

Commuter program

Health, dental, vision benefits

Life and disability insurance

Employee Assistance Program

Pet insurance

Job summary

Compass Real Estate - Peninsula is seeking a Lead Data Scientist to drive end-to-end predictive modeling and data-driven strategy. You will collaborate with executives and engineering to translate business goals into scalable analytics and insights.

You will mentor peers, advance ML and MLOps practices, and shape the long-term analytical roadmap while delivering high-impact results in a fast-paced real estate environment.

Qualifications

• Advanced degree in a quantitative field and strong data science track record.
• Extensive experience delivering end-to-end data science projects.
• Proficiency in Python and SQL for modeling and analysis.

Responsibilities

• Lead end-to-end development, validation, and deployment of large-scale predictive models.
• Design rigorous data-driven research to analyze business outcomes.
• Collaborate with senior stakeholders and engineering to translate goals into analytics.
• Synthesize complex methods into clear insights for executives.
• Mentor junior data scientists and promote best practices.

Skills

Python

SQL

MLOps

Time-series forecasting

Deep learning

Causal inference

NLP

Data storytelling

Mentoring

Cross-functional collaboration

Education

Master's or PhD in a quantitative field

Tools

Python

SQL

MLOps

Job description

Compass Real Estate - Peninsula is seeking a Lead Data Scientist to drive end-to-end predictive modeling and data-driven strategy. You will collaborate with executives and engineering to translate business goals into scalable analytics and insights.

You will mentor peers, advance ML and MLOps practices, and shape the long-term analytical roadmap while delivering high-impact results in a fast-paced real estate environment.