Sr Manager, Data Science

Senior Manager, Data Science

Lennar is one of the nation's leading homebuilders, dedicated to building quality homes and providing exceptional customer service. As a Fortune 500 company, we foster a culture of opportunity and growth throughout an Associate’s career.

We are seeking a senior technical leader who can move fluidly between coaching senior data scientists, shaping modeling roadmaps with executive stakeholders, and reviewing the math behind a model when it matters. This role owns the strategy, delivery, and people leadership of a high‑impact team building pricing, forecasting, and predictive models that influence revenue, operations, and capital decisions across the business.

• Lead, coach, and grow a centralized team of data scientists working across pricing, forecasting, demand modeling, and broader predictive analytics.
• Own the modeling roadmap for the ML team, partnering with business and platform leaders to prioritize use cases, scope deliverables, and align modeling investments to measurable enterprise outcomes.
• Drive technical depth across the team—reviewing experiment design, feature engineering, model selection, validation strategy, and post‑deployment monitoring.
• Partner with AI Engineering, AI Product, and Data Engineering to ensure models are productionized on a modern MLOps stack with proper version control, retraining, and observability.
• Translate complex modeling work for executive audiences, framing trade‑offs, expected impact, confidence levels, and risks.
• Build durable cross‑functional partnerships with Pricing, Sales Operations, Supply Chain, Finance, and Corporate Analytics to ensure models are adopted, trusted, and tied to measurable business outcomes.
• Establish team operating cadence including planning, retros, model reviews, and documentation standards that scale as the team and portfolio of models grow.
• Recruit, develop, and retain top data science talent—own hiring loops, leveling decisions, performance management, and career progression for direct reports.

• Bachelor’s degree or higher in a quantitative field such as Statistics, Computer Science, Operations Research, Economics, Mathematics, or Engineering; an advanced degree (MS/PhD) preferred.
• 10+ years of applied data science experience, with at least 3 years in a people‑management role leading data science teams that shipped production models.
• Strong hands‑on background in supervised learning, time‑series forecasting, and pricing or revenue‑optimization models with proven impact in a production environment.
• Deep proficiency in Python and the modern ML stack (scikit‑learn, XGBoost/LightGBM, pandas) and strong SQL skills.
• Experience deploying models on a cloud‑native ML platform (AWS Sage Maker preferred) and partnering with engineering teams on MLOps practices.
• Proven ability to lead a portfolio of modeling work—prioritizing use cases by business value, managing competing stakeholder demands, and communicating trade‑offs clearly at the executive level.
• Track record of building, developing, and retaining strong data science talent, including mentoring senior individual contributors and growing first‑line data scientists into leaders.
• Bonus:
  Experience in real‑estate or homebuilding, pricing, supply‑chain, causal inference, reinforcement learning, or simulation modeling; exposure to LLM‑based ML use cases.

• The opportunity to deliver impact across one of the largest homebuilders in the United States.
• A corporate culture focused on growth and development.
• Freedom to try new impactful ideas.
• Ability to deploy your work across 40+ divisions and interact directly with those teams.
• End‑to‑end project ownership.
• Occasional travel for team activities and meetings.
• Hybrid work schedule located in Miami, FL;
  Bentonville, AR; or Dallas, TX.
• Healthcare (medical, dental, vision) and 401(k) matching.

Lennar is an equal‑opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.