Lead Data Scientist - Strategic ML & Impact

Compass; San Francisco (CA); On-site; USD 176,000 - 195,000; Full time

Benefits offered by this job

Incentive programs

Vacation & holidays

Medical, dental, vision

401(k)

FSAs

Commuter program

Life & disability insurance

Maven

Carrot

UrbanSitter

EAP

Pet insurance

Job summary

Compass is seeking a Lead Data Scientist to drive advanced analytics for strategic decision-making. You will lead end-to-end development of predictive models, tackle ambiguous problems, and shape the analytical roadmap in a fast-paced real estate tech environment.

You will collaborate with senior stakeholders and engineering leaders to translate business goals into scalable data-driven solutions, while mentoring peers and promoting best practices across the team.

Qualifications

• Advanced degree in a quantitative field.
• 5+ years of data science project leadership and delivery.
• Experience deploying ML models and MLOps workflows.

Responsibilities

• Lead end-to-end development, validation, and deployment of large-scale predictive models.
• Design rigorous data-driven research to analyze business factors.
• Collaborate with senior stakeholders and engineering to translate goals into analytical frameworks.
• Communicate complex methods and findings to executives and technical audiences.
• Mentor junior data scientists and promote best practices in coding and analysis.

Skills

Python

SQL

MLOps

Time-series

Deep learning

Causal inference

NLP

Leadership

Cross-functional

Communication

Education

Master’s or PhD in CS/Stats/Math

Job description

Compass is seeking a Lead Data Scientist to drive advanced analytics for strategic decision-making. You will lead end-to-end development of predictive models, tackle ambiguous problems, and shape the analytical roadmap in a fast-paced real estate tech environment.

You will collaborate with senior stakeholders and engineering leaders to translate business goals into scalable data-driven solutions, while mentoring peers and promoting best practices across the team.