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.
Sacramento CA - Virtual
Live, first seen by us 30 days agoGeneral 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
Employment type in the employer’s posting: Full timeFrom the employer’s 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
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
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.
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
Day 30
Similar jobs usually come down between day 8 and day 60.
At Lennar, jobs usually come down by about day 27.
From 11,873 similar postings that came down, and 23 of Lennar’s. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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
Requirements
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.
General Overview of Compensation & Benefits:
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
Sacramento CA - Virtual
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.