Lead Data Scientist

Quick Facts

Lead the end-to-end development and deployment of predictive models and data-driven algorithms for strategic business decisions and market trend analysis.

Description

Lead end-to-end development, validation, and deployment of large-scale predictive models and algorithms. Conduct rigorous, data-driven research on how multi-faceted factors impact business outcomes and partner with senior business and engineering leaders to deliver cutting-edge, data-driven solutions. Set the standard for data science excellence and help define the long-term analytical strategy.

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 ambiguous and open-ended problems.
• Collaborate with senior business stakeholders and engineering partners to identify strategic opportunities, translate business goals into analytical frameworks, and deliver actionable insights.
• Synthesize and communicate complex methodologies, technical trade-offs, and strategic findings to C-level executives and technical audiences.
• Mentor other data scientists to foster continuous learning, rigorous peer review, and adherence to state-of-the-art methodologies.

Requirements

• Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or related quantitative field.
• 5+ years of data science experience with a proven track record leading end-to-end successful projects.
• Deep expertise in key data science domains (time-series forecasting, deep learning, causal inference).
• Practical experience architecting prediction, segmentation, and NLP solutions.
• Proficiency in Python and SQL for complex data manipulation, statistical analysis, and model development.
• Hands-on experience productionizing machine learning models; familiarity with MLOps concepts and workflows.
• Experience leading complex, cross-functional projects and applying advanced methodologies to ambiguous business problems.
• Strong clean code principles and software engineering best practices/technical standards.
• Business acumen and strategic thinking aligned to organizational goals; evaluates tradeoffs effectively.
• Experience mentoring and guiding junior team members; overseeing project quality and investigating root causes of technical issues.
• Exceptional communication and collaboration skills in a fast-paced, cross-functional environment.
• Real estate industry or other market-driven domain experience is a plus.

Benefits

• Incentive programs (eligible cash, equity, or commissions) plus base pay in the range of $175,500–$195,000 annually (varies by experience and job-related knowledge).
• 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 (support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; pet insurance.