Senior Lead Data Scientist

Join Compass as a Senior Lead Data Scientist, where you will lead large-scale, cross-functional initiatives that are critical to the organization. You will have mastery over major organizational problems and solution spaces, delivering with complete independence and maintaining accountability for strategic intent and results. You will facilitate cross-organizational collaboration, orchestrate efforts across multiple teams, and advise management on complex technical and strategic decisions. Additionally, you will mentor senior-level data scientists and act as a trusted advisor to executive leadership.

• Lead the execution of large, cross-functional initiatives where both the problem and solution approach are not well-defined, managing dependencies and setting realistic timelines for high-impact projects.
• Foster a culture of shared ownership across teams and translate cutting-edge industry research into practical, scalable solutions for the company, while defining and rolling out new processes, methodologies, and best practices.
• Mentor senior-level data scientists across the organization, act as a trusted advisor to executive leadership, and ensure the adoption of clean code standards and software engineering best practices across teams.

• Expertise in evaluating and selecting cutting-edge methodologies to solve highly ambiguous business problems
• Exceptional communication skills with a track record of serving as a trusted advisor to organizational leadership
• Proven ability to define and enforce clean code standards and software engineering best practices across teams
• Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP
• Experience mentoring and developing senior-level data scientists to foster growth and technical excellence
• Demonstrated experience designing and implementing robust MLOps pipelines for large-scale model deployment and monitoring
• Mastery of advanced Python and SQL for large-scale data manipulation, analysis, and architectural design
• Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) with 8+ years of professional data science experience
• Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams simultaneously