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About the Role
As a Senior Data Scientist on Lennar's People Analytics team, you will build models to anticipate workforce needs such as attrition risk, hiring demands, and underlying trends. You will also develop AI agents to deliver these insights directly to HR leaders, ensuring forecasts inform decision-making. This is a new role with significant autonomy to shape modeling approaches, validation standards, and presentation of results to senior leadership. You will collaborate with HR COEs, utilize Workday and other HR systems, and analyze metrics from Visier. You will report to the Head of People Analytics.
Responsibilities
- Partner directly with HR leaders to understand forecasting and automation needs, building trusted models and agents.
- Build and deploy predictive models using Python and SQL, monitoring performance and refining accuracy over time.
- Develop AI agents capable of querying, reasoning over, and acting on People data, ensuring safe operation with sensitive workforce information.
- Select appropriate statistical methods, including experimentation and causal inference, quantify uncertainty, and explain methodologies to senior leadership.
- Utilize LLMs to identify patterns in unstructured People data, such as survey comments and exit interview notes, and integrate findings into models.
- Gain deep familiarity with Lennar's people data, extracting and structuring data, identifying gaps, and collaborating with Data Engineering on pipelines.
- Explain statistical concepts, model results, and agent behavior clearly to non-quantitative HR and business audiences.
- Handle sensitive workforce and compensation data with discretion.
Requirements
- Bachelor’s degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field with equivalent experience.
- 5+ years of relevant experience (1+ with PhD, 3+ with MS) as a data scientist producing models and engineering solutions in a production environment.
- Depth in predictive modeling, including regression, time series forecasting, and classification.
- Strong statistical foundation, including experimentation and causal inference, with the judgment to select appropriate methods.
- Proven ability to work independently, design validation approaches, and articulate methodology to technical and non-technical reviewers.
- Hands-on experience building with LLMs (agents, tool use, retrieval, prompt-driven workflows) and using tools like Claude.
- Experience with large, complex operational or HR datasets, including cleaning, structuring, and extracting data via SQL or APIs.
- Fluency in SQL and strong proficiency in Python.
- Ability to explain model results and agent behavior in plain language to non-technical leaders.
- Ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move/carry up to 25 lbs.
Skills
- Python
- SQL
- Predictive modeling
- Regression
- Time series forecasting
- Classification
- Experimentation
- Causal inference
- LLMs
- Workday
Location
- Onsite
Work Type
- Full-time
Experience Level
- Senior
Education Level
- Bachelor's degree or higher
Salary/Compensations
- $122,713.49 - $163,618
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) Retirement Plan with Company Match up to 5%
- Paid Parental Leave
- Associate Assistance Plan
- Education Assistance Program
- Adoption Assistance up to $30,000
- Up to three weeks of vacation annually
- Holiday Leave
- Sick Leave
- Personal Day policies
- New Hire Referral Bonus Program
- Home Purchase Discounts
About the Company
- Lennar is one of the nation's leading homebuilders, focused on creating an extraordinary experience for homeowners, communities, and associates.
- The company is dedicated to building quality homes, providing exceptional customer service, and giving back to the communities where they operate.
- Lennar fosters a culture of opportunity and growth for its associates.
- Recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.
Equal Opportunity
- Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.