Lead Data Scientist - Drive Strategy with ML & Data

Compass; Boca Raton (FL); In loco; USD 176.000 - 195.000; Tempo pieno

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Incentives & Benefits

Descrizione del lavoro

Compass in Boca Raton, FL is seeking a Lead Data Scientist to drive analytics and ML initiatives across the business. You will partner with executives and engineering to shape strategy and deliver scalable data-driven solutions for real estate products.

Lead end-to-end projects, mentor junior staff, and promote best practices in ML, data engineering, and collaboration. This role blends research, execution, and strategic influence.

Competenze

• Master's or PhD in a quantitative field.
• 5+ years in data science with leadership success.
• Expertise in time-series, deep learning, causal inference.
• Experience architecting diverse ML solutions.
• Proficient in Python and SQL for analysis and modeling.
• Productionizing ML and MLOps familiarity.
• Led cross-functional projects addressing complex problems.
• Advocates clean code and engineering best practices.
• Strong business acumen and strategic thinking.
• Mentors juniors and drives project quality.

Mansioni

• 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 partners on strategic opportunities.
• Synthesize complex methodologies for C-level and technical audiences.
• Mentor other data scientists to foster learning and quality.

Conoscenze

Python

SQL

ML modeling

MLOps

Time-series forecasting

Deep learning

Causal inference

NLP

Mentoring

Communication

Formazione

Master's or PhD in CS/Statistics/Math

Descrizione del lavoro

Compass in Boca Raton, FL is seeking a Lead Data Scientist to drive analytics and ML initiatives across the business. You will partner with executives and engineering to shape strategy and deliver scalable data-driven solutions for real estate products.

Lead end-to-end projects, mentor junior staff, and promote best practices in ML, data engineering, and collaboration. This role blends research, execution, and strategic influence.