Hiring: Senior Lead Data Scientist Company: Compass Location: Aventura, FL Job Posted Time: 2026-09-15 19:59:31 Employment Type: Full-time Target Skills & Keywords: Data Science, Machine Learning, XGBoost, Deep Learning, NLP, Python, SQL, MLOps, Model Deployment, Model Monitoring, Software Engineering Best Practices, Technical Leadership, Cross-functional Collaboration, Mentorship, Strategic Initiatives Experience: - 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 - Demonstrated experience designing and implementing robust MLOps pipelines for large-scale model deployment and monitoring - Experience mentoring and developing senior-level data scientists to foster growth and technical excellence Required Skills: - Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP - Mastery of advanced Python and SQL for large-scale data manipulation, analysis, and architectural design - Expertise in evaluating and selecting cutting-edge methodologies to solve highly ambiguous business problems - Proven ability to define and enforce clean code standards and software engineering best practices across teams - Exceptional communication skills with a track record of serving as a trusted advisor to organizational leadership - Ability to lead execution of large, cross-functional initiatives where both the problem and solution approach are not well-defined - Ability to orchestrate efforts across multiple teams, manage dependencies, and set realistic timelines for high-impact projects - Ability to foster a culture of shared ownership across teams and translate cutting-edge industry research into practical, scalable solutions - Ability to define and roll out new processes, methodologies, and best practices across the entire Data organization - Ability to mentor senior-level data scientists across the organization and act as a trusted advisor to executive leadership Qualifications: - Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) - 8+ years of professional data science experience - Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP - Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams simultaneously - Mastery of advanced Python and SQL for large-scale data manipulation, analysis, and architectural design - Expertise in evaluating and selecting cutting-edge methodologies to solve highly ambiguous business problems - Demonstrated experience designing and implementing robust MLOps pipelines for large-scale model deployment and monitoring - Proven ability to define and enforce clean code standards and software engineering best practices across teams - Experience mentoring and developing senior-level data scientists to foster growth and technical excellence - Exceptional communication skills with a track record of serving as a trusted advisor to organizational leadership Compensation: - Base pay range: $204,000-$226,700 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 - Perks include participation in incentive programs (which may include eligible cash, equity, or commissions), paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!