Lead Data Scientist

At Compass our mission is to help everyone find their place in the world. Founded in 2012 were revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients.

About the Role:

We are seeking a highly skilled and motivated Lead Data Scientist to join our data science this role you will leverage your deep expertise in machine learning statistical modeling and data analysis to solve our most complex problems. You will set the standard for data science excellence architect scalable solutions and help define the long-term analytical strategy. You will partner with senior business stakeholders and engineering leaders to uncover insights develop cutting-edge data-driven solutions and drive initiatives that directly shape company-wide strategic planning resource allocation and product innovation.

Responsibilities:

• Lead the end-to-end development validation and deployment of large-scale predictive models and algorithms that inform strategic business decisions and market trend analysis.
• Design and execute rigorous data-driven research to analyze the impact of multi-faceted factors on business outcomes tackling the organizations most highly ambiguous and open-ended problems.
• Collaborate deeply with senior business stakeholders and engineering partners to identify strategic opportunities translate overarching business goals into complex analytical frameworks and deliver high-impact actionable insights.
• Synthesize and communicate highly complex methodologies technical trade-offs and strategic findings clearly to both C-level executives and technical audiences.
• Act as a technical mentor to other data scientists fostering a culture of continuous learning rigorous peer review and adherence to state-of-the-art methodologies.

Qualifications:

• Masters degree or PhD in Computer Science Statistics Economics Mathematics or a related quantitative field.
• 5 years of experience in data science with a proven track record of conceptualizing leading and delivering highly successful end-to-end data science projects.
• Deep expertise in key data science domains (e.g. time-series forecasting deep learning causal inference).
• Extensive practical experience architecting solutions using a broad range of methodologies (e.g. prediction segmentation NLP).
• Demonstrated proficiency in Python and SQL for complex data manipulation statistical analysis and model development.
• Hands-on experience productionizing machine learning models and strong familiarity with MLOps concepts and workflows.
• Proven experience leading complex cross-functional projects and applying advanced methodologies to solve ambiguous business problems.
• Strong advocate for clean code principles software engineering best practices and technical standards.
• Strong business acumen and strategic thinking with a proven ability to understand the broader business context evaluate tradeoffs and align analytical projects with organizational goals.
• Experience mentoring and guiding junior team members overseeing project quality and investigating root causes of complex technical challenges.
• Exceptional communication and collaboration skills with a proven ability to work effectively in a fast-paced cross-functional environment.
• Experience in the Real Estate industry or other market-driven domains is a plus.

Compensation: The base pay range for this position is $00 annually; however base pay offered may vary depending on job-related knowledge skills and experience. Bonuses and restricted stock units may be provided as part of the compensation package in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

Notice for California Applicants

Los Angeles County Fair Chance Notice