Sr Data Scientist, People Analytics

Lennar USA; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with company match

Paid parental leave

Adoption assistance

Vacation and holidays

New hire referral bonus

Home purchase discounts

Education assistance

Job summary

Lennar is seeking a Senior Data Scientist for the People Analytics team in Houston. You will build predictive models forecasting attrition, hiring needs, and turnover trends, and create AI agents to deliver insights to HR leaders.

You will work with Workday and other data systems, validate approaches, and present results to senior leadership, shaping how data informs decisions. This newly created role offers latitude to define modeling approaches and ensure reliable forecasts.

Qualifications

• Bachelor's degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field.
• 5+ years of relevant experience as a data scientist producing models in production.
• Proficiency in regression, time series forecasting, and classification.
• Strong statistical foundation with experimentation and causal inference.
• Experience building with LLMs, agents, tool use, and function calling.
• Experience with large HR datasets, cleaning and structuring data via SQL or APIs.
• Fluent in SQL and Python; ability to explain results to non-technical audiences.

Responsibilities

• Build and deploy predictive models in Python and SQL.
• Develop AI agents to query and act on People data with safe guardrails.
• Explain model results and agent behavior to HR and business leaders.
• Work with HR leaders to forecast needs and automate decisions.
• Collaborate with Data Engineering on data pipelines.

Skills

SQL

Python

Data modeling

Time series forecasting

LLMs

Statistical methods

CAUSAL INFERENCE

Communication to non-tech

Education

Bachelor's degree or higher in statistics, economics, math, CS

Tools

Workday

Claude

Job description

Senior Data Scientist, People Analytics

We are Lennar

Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.

A Career that Empowers You to Build Your Future

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, and the trends underneath them. You'll also build the AI agents that deliver that work directly to HR leaders, so 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 what they need forecasted or automated and build models and agents they trust enough to act on.
• Build and deploy predictive models in Python and SQL. Monitor model performance over time, retesting as new data arrives and refining when accuracy drifts, so predictions and recommendations stay reliable.
• Build AI agents that can query People data, reason over it, and take action, along with the tool use, orchestration, and guardrails that let them work safely with sensitive workforce data.
• Select the method that fits the question, apply experimentation and causal inference where the question is about cause, quantify uncertainty, and be prepared to explain the approach to senior leadership.
• Use LLMs to surface patterns in unstructured People data such as survey comments and exit interview notes and incorporate what you find into your models.
• Develop deep familiarity with Lennar's people data, extracting and structuring what your models require, identifying gaps that would sharpen the output, and partnering with Data Engineering on the pipelines behind it.
• Explain statistical concepts, model results, and agent behavior to HR and business audiences without a quantitative background.
• 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.
• A strong statistical foundation, including experimentation and causal inference, and the judgment to select the right method for the question at hand.
• Proven ability to work independently, including designing your own validation approach and articulating your methodology to technical and non-technical reviewers.
• Hands-on experience building with LLMs, whether agents, tool use and function calling, retrieval, or prompt-driven workflows, and using tools such as Claude to accelerate your own development. We're interested in what you've built and how you evaluated it, more than years of experience in a field this new.
• Experience with large, complex operational or HR datasets, including cleaning and structuring messy data and extracting it yourself through 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 HR and business leaders.

Physical & Office/Site Presence Requirements:

This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary.

This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice.

Life at Lennar

At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well‑being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone’s Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar’s policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.

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