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Senior Data Scientist - People Analytics

Sacramento CA - Virtual

Live, first seen by us 29 days ago
Pay
$122,713.49–163,618/year · BaseLocation-specific pay. Not guaranteed — pay source
General Overview of Compensation & Benefits: We reasonably expect the base compensation offered for this position to range from an annual salary of $122,713.49 - $163,618, subject to adjustment based on business-related factors such as employee qualifications, geographic pay differentials (e.g., cost of labor/living, etc.), and operational considerations.- This position may be eligible for bonuses. This position may be eligible for commissions.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Employer’s visa record
16 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • Build and deploy predictive models in Python and SQL

  • Build AI agents that query People data, reason over it, and take action

  • Monitor model performance and retest or refine models as accuracy drifts

  • Partner with HR leaders to define what to forecast or automate

  • Use LLMs to find patterns in survey comments and exit interview notes

From the employer’s posting
Build and deploy predictive models in Python and SQL.
Build AI agents that can query People data, reason over it, and take action
Monitor model performance over time, retesting as new data arrives and refining when accuracy drifts
Partner directly with HR leaders to understand what they need forecasted or automated
Use LLMs to surface patterns in unstructured People data such as survey comments and exit interview notes

What you’ll bring

All qualifications

Core experience

  • 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.
  • 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.
  • Experience with large, complex operational or HR datasets, including cleaning and structuring messy data and extracting it yourself through SQL or APIs.
  • Ability to explain model results and agent behavior in plain language to non-technical HR and business leaders.
Qualification wording
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.
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.
Ability to explain model results and agent behavior in plain language to non-technical HR and business leaders.
Education & alternatives
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.
- 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.
Apply at Lennar

Posting record

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Status in our records
Live
First seen by us
Oct 15, 202629 days ago
Recorded sightings
52
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$123K–$164K against $118K–$195K, the middle half of what similar US postings state.

From 3,828 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 29

Similar jobs usually come down between day 8 and day 60.

At Lennar, jobs usually come down by about day 27.

From 11,862 similar postings that came down, and 23 of Lennar’s. Coming down is not always a hire.

Lennar is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down quickly
  • 20% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
Where the posting names them
- 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.
- 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.
- 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.

Your next step

Complete your application on lennar.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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About Lennar

People
About 13,135 in 2024.Benefit plan filings (Form 5500)
Company
Listed as LEN.
H-1B visas
10 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

  • This information is intended to be a general overview and may be modified by the company due to factors affecting the business.


General Overview of Compensation & Benefits:

We reasonably expect the base compensation offered for this position to range from an annual salary of $122,713.49 - $163,618, subject to adjustment based on business-related factors such as employee qualifications, geographic pay differentials (e.g., cost of labor/living, etc.), and operational considerations.
  • This position may be eligible for bonuses.
  • This position may be eligible for commissions.
  • This position will be eligible for the described benefits listed in the above section in accordance with Company Policy.
  • This information is intended to be a general overview and may be modified by the Company due to factors affecting the business.

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.

Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn<https://www.linkedin.com/company/lennar/> for the latest job opportunities.

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

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Pay
General Overview of Compensation & Benefits: We reasonably expect the base compensation offered for this position to range from an annual salary of $122,713.49 - $163,618, subject to adjustment based on business-related factors such as employee qualifications, geographic pay differentials (e.g., cost of labor/living, etc.), and operational considerations.- This position may be eligible for bonuses. This position may be eligible for commissions.
Location & working pattern

Sacramento CA - Virtual

Working pattern and location restrictions need checking in the full posting.

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