[Hiring] Senior Data Scientist @Lennar

Role Description

As a Senior Data Scientist on Lennar's People Analytics team, you'll build the models that anticipate what's ahead for our workforce:

• Attrition and turnover risk
• Hiring and headcount needs
• Trends underneath them

You'll also build the AI agents that deliver that work directly to HR leaders, ensuring forecasts reach the point of decision rather than sitting in a report. This is a newly created position and the first dedicated data science role on the People Analytics team. You'll have significant latitude in shaping how the work gets done, from the modeling approaches we adopt to the standards we hold for validation and how results are presented to senior leadership. You'll work closely with HR COEs and hands-on with Workday and other people systems, plus the metrics Visier surfaces on top of them. You'll report to the Head of People Analytics.

Your Responsibilities on the Team

• Partner directly with HR leaders to understand forecasting and automation needs.
• Build and deploy predictive models in Python and SQL.
• Monitor model performance over time, retesting as new data arrives.
• Build AI agents that can query People data, reason over it, and take action.
• Select the method that fits the question, applying experimentation and causal inference.
• Use LLMs to surface patterns in unstructured People data.
• Develop deep familiarity with Lennar's people data.
• Explain statistical concepts, model results, and agent behavior to non-technical audiences.
• Handle sensitive workforce and compensation data with discretion.

Qualifications

• Bachelor’s degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field.
• 5+ years of relevant experience (1+ with PhD, 3+ with MS) as a data scientist.
• Depth in predictive modeling, including regression, time series forecasting, and classification.
• A strong statistical foundation, including experimentation and causal inference.
• Proven ability to work independently, including designing validation approaches.
• Hands-on experience building with LLMs and using tools such as Claude.
• Experience with large, complex operational or HR datasets.
• Fluency in SQL and strong proficiency in Python.
• Ability to explain model results and agent behavior in plain language.

Requirements

• Ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs.
• Finger dexterity is necessary.

Benefits

• Base compensation range: $122,713.49 - $163,618.
• Eligibility for bonuses and commissions.
• Access to robust health insurance plans (Medical, Dental, Vision).
• 401(k) Retirement Plan with a $1 for $1 Company Match up to 5%.
• Paid Parental Leave and Associate Assistance Plan.
• Education Assistance Program and up to $30,000 in Adoption Assistance.
• Up to three weeks of vacation annually.
• Generous Holiday, Sick Leave, and Personal Day policies.
• New Hire Referral Bonus Program and Home Purchase Discounts.
• Unique opportunities such as Everyone’s Included Day.