Lennar
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Sr. Data Scientist
role at
Lennar .
Lennar
is one of the nation’s leading homebuilders, dedicated to creating an extraordinary experience for homeowners, communities, and associates by building quality homes and providing exceptional customer service. Recognized as a Fortune 500® company, Lennar fosters a culture of opportunity and growth throughout an associate’s career.
Senior Data Scientist – Responsibilities
Design, build, and deploy autonomous AI agents using frameworks like Amazon Bedrock and AgentCore to solve business problems in pricing, sales, operations, and customer interactions.
Apply machine vision and feature extraction on home attributes (photos, plans, finishes) to inform premium pricing and personalization strategies.
Engineer and maintain data pipelines and systems supporting all models and agents, ensuring scalability and reliability.
Integrate agents with enterprise systems and protocols (MCP servers, A2A protocol, internal APIs).
Design and run experiments (A/B tests, multi‑armed bandits, uplift models) to measure and optimize model and agent performance.
Ensure observability and reliability of deployed agents, including logging, evaluation, monitoring, and drift detection.
Proactively gather feedback from stakeholders and adapt solutions for adoption and measurable impact.
Translate complex data science and statistical concepts into clear recommendations, stories, and visualizations for executives and non‑technical audiences.
Favor incremental, explainable solutions that deliver quick wins and scale over time.
Drive experimentation with new tools and approaches, ensuring robustness, governance, and scalability in production deployments.
Share learnings with the broader team to raise the bar on data science and agentic development across the organization.
Manage timelines and expectations transparently with both the data science team and business stakeholders.
Requirements
Bachelor’s or Master’s degree in Statistics, Economics, Math, Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
5+ years of relevant experience (1+ with PhD, 3+ with MS) as a data scientist, ML engineer, or applied AI developer delivering production‑ready models and systems.
Strong proficiency in Python and SQL, with experience owning the full data science stack (data pipelines + models + deployment).
Hands‑on experience with AI development frameworks (LangChain, Strands, Amazon Bedrock, AgentCore, or equivalent).
Experience with experimentation frameworks (A/B testing, uplift modeling, multi‑armed bandits, causal ML).
Exposure to machine vision techniques (CNNs, transfer learning, embeddings) and NLP techniques (embeddings, transformers, prompt engineering).
Understanding of AI agent observability (evaluation frameworks like LangFuse, RAGAS, Weights & Biases, custom monitoring).
Experience with system integrations: APIs, A2A protocol, MCP servers, orchestration pipelines.
Comfort working with large‑scale, imperfect real‑world datasets and making progress despite complexity.
Strong engineering skills: ability to design and maintain production pipelines, microservices, and scalable systems.
Proven ability to navigate ambiguity, rapidly prototype, and move solutions into production.
Collaborative communicator who can align technical solutions with business priorities across diverse stakeholders.
Bonus:
experience with RAG pipelines, LLM fine‑tuning, RLHF, multi‑agent orchestration, feature stores, survival analysis/churn modeling, and attribution modeling.
Physical & Office/Site Presence Requirements This is primarily a sedentary office position which requires the incumbent to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move, and carry up to 25 lbs. Finger dexterity is necessary.
Equal Opportunity Employer Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
Benefits Lennar offers a comprehensive benefits package, including health insurance (Medical, Dental, Vision), a 401(k) retirement plan with a $1 for $1 company match up to 5%, paid parental leave, an associate assistance plan, education assistance, up to $30,000 in adoption assistance, up to three weeks of vacation annually, generous holiday, sick leave, and personal day policies, a new‑hire referral bonus program, home purchase discounts, and more. For full details, visit Lennar’s benefits portal.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
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Sr. Data Scientist
role at
Lennar .
Lennar
is one of the nation’s leading homebuilders, dedicated to creating an extraordinary experience for homeowners, communities, and associates by building quality homes and providing exceptional customer service. Recognized as a Fortune 500® company, Lennar fosters a culture of opportunity and growth throughout an associate’s career.
Senior Data Scientist – Responsibilities
Design, build, and deploy autonomous AI agents using frameworks like Amazon Bedrock and AgentCore to solve business problems in pricing, sales, operations, and customer interactions.
Apply machine vision and feature extraction on home attributes (photos, plans, finishes) to inform premium pricing and personalization strategies.
Engineer and maintain data pipelines and systems supporting all models and agents, ensuring scalability and reliability.
Integrate agents with enterprise systems and protocols (MCP servers, A2A protocol, internal APIs).
Design and run experiments (A/B tests, multi‑armed bandits, uplift models) to measure and optimize model and agent performance.
Ensure observability and reliability of deployed agents, including logging, evaluation, monitoring, and drift detection.
Proactively gather feedback from stakeholders and adapt solutions for adoption and measurable impact.
Translate complex data science and statistical concepts into clear recommendations, stories, and visualizations for executives and non‑technical audiences.
Favor incremental, explainable solutions that deliver quick wins and scale over time.
Drive experimentation with new tools and approaches, ensuring robustness, governance, and scalability in production deployments.
Share learnings with the broader team to raise the bar on data science and agentic development across the organization.
Manage timelines and expectations transparently with both the data science team and business stakeholders.
Requirements
Bachelor’s or Master’s degree in Statistics, Economics, Math, Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
5+ years of relevant experience (1+ with PhD, 3+ with MS) as a data scientist, ML engineer, or applied AI developer delivering production‑ready models and systems.
Strong proficiency in Python and SQL, with experience owning the full data science stack (data pipelines + models + deployment).
Hands‑on experience with AI development frameworks (LangChain, Strands, Amazon Bedrock, AgentCore, or equivalent).
Experience with experimentation frameworks (A/B testing, uplift modeling, multi‑armed bandits, causal ML).
Exposure to machine vision techniques (CNNs, transfer learning, embeddings) and NLP techniques (embeddings, transformers, prompt engineering).
Understanding of AI agent observability (evaluation frameworks like LangFuse, RAGAS, Weights & Biases, custom monitoring).
Experience with system integrations: APIs, A2A protocol, MCP servers, orchestration pipelines.
Comfort working with large‑scale, imperfect real‑world datasets and making progress despite complexity.
Strong engineering skills: ability to design and maintain production pipelines, microservices, and scalable systems.
Proven ability to navigate ambiguity, rapidly prototype, and move solutions into production.
Collaborative communicator who can align technical solutions with business priorities across diverse stakeholders.
Bonus:
experience with RAG pipelines, LLM fine‑tuning, RLHF, multi‑agent orchestration, feature stores, survival analysis/churn modeling, and attribution modeling.
Physical & Office/Site Presence Requirements This is primarily a sedentary office position which requires the incumbent to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move, and carry up to 25 lbs. Finger dexterity is necessary.
Equal Opportunity Employer Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
Benefits Lennar offers a comprehensive benefits package, including health insurance (Medical, Dental, Vision), a 401(k) retirement plan with a $1 for $1 company match up to 5%, paid parental leave, an associate assistance plan, education assistance, up to $30,000 in adoption assistance, up to three weeks of vacation annually, generous holiday, sick leave, and personal day policies, a new‑hire referral bonus program, home purchase discounts, and more. For full details, visit Lennar’s benefits portal.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
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