Senior Data Scientist, People Analytics

🔥 0 minutes ago

🐊 Florida, Texas – Remote

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⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Logo of Lennar

Lennar

5001 - 10000 employees

Founded 1954

🏗️ Construction

🏠 Real Estate

Construction • Real Estate

Lennar is a leading homebuilding company in the United States, known for building beautiful communities in desirable markets across the country. With a strong focus on quality craftsmanship, Lennar offers a range of housing options including single-family homes, townhomes, condominiums, and homes designed for active adults and multigenerational living. They also provide comprehensive home buying services including financing through Lennar Mortgage and partnerships with Opendoor for selling existing homes. Operating in 26 states, Lennar is recognized for its commitment to creating communities that cater to diverse lifestyles.

📋 Description

• Partner directly with HR leaders to understand forecasting and automation needs • Build predictive models and AI agents for workforce analytics • Build and deploy predictive models in Python and SQL • Monitor model performance, retest models with new data, and refine models when accuracy drifts • Build AI agents that query People data, reason over it, and take action • Implement tool use, orchestration, and guardrails for safe handling of sensitive workforce data • Select appropriate analytical methods, apply experimentation and causal inference, quantify uncertainty, and explain approaches to senior leadership • Use LLMs to surface patterns in unstructured People data such as survey comments and exit interview notes • Develop familiarity with Lennar’s people data, extract and structure model inputs, 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

🎯 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, or 1+ year 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 operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs • Finger dexterity

🏖️ Benefits

• Medical, Dental, and Vision coverage • 401(k) Retirement Plan with a $1 for $1 Company Match up to 5% • Paid Parental Leave • Associate Assistance Plan • Education Assistance Program • Up to $30,000 in Adoption Assistance • Up to three weeks of vacation annually from the moment of hire • Holiday Leave • Sick Leave • Personal Day policies • New Hire Referral Bonus Program • Home Purchase Discounts • Everyone’s Included Day

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