Senior Data Scientist – People Analytics

. Partner directly with HR leaders to understand forecasting and automation needs .

Posted 10/15/2026full-timeUnited StatesSenior💰 $122,713 - $163,618 per yearWebsite

Tools & technologies

PythonSQL

Key responsibilities & impact

Partner directly with HR leaders to understand forecasting and automation needs
Build and deploy predictive models in Python and SQL
Monitor model performance, retest models as new data arrives, and refine models when accuracy drifts
Build AI agents that query People data, reason over it, and take action
Develop tool use, orchestration, and guardrails for AI agents working with sensitive workforce data
Select appropriate methods, apply experimentation and causal inference, quantify uncertainty, and explain approaches to senior leadership
Use LLMs to surface patterns in survey comments and exit interview notes and incorporate findings into models
Develop familiarity with Lennar’s people data, extract and structure data, identify data gaps, and partner with Data Engineering on pipelines
Explain statistical concepts, model results, and agent behavior to HR and business audiences
Handle sensitive workforce and compensation data with discretion
Report to the Head of People Analytics
Work closely with HR COEs, Workday, other people systems, and Visier

What you’ll need

Bachelor’s degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field with equivalent experience
5+ years of relevant experience, or 1+ years with PhD or 3+ years 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
Ability to work independently, design validation approaches, and articulate methodology to technical and non-technical reviewers
Hands-on experience building with LLMs, including agents, tool use and function calling, retrieval, or prompt-driven workflows
Experience using tools such as Claude to accelerate development
Experience with large, complex operational or HR datasets, including cleaning and structuring messy data and extracting data through SQL or APIs
Fluency in SQL
Strong proficiency in Python
Ability to explain model results and agent behavior in plain language to non-technical HR and business leaders
Ability to handle sensitive workforce and compensation data with discretion
Ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs
Finger dexterity

Comp & perks