Sr Data Scientist
About The Position
Lennar is one of the nation's leading homebuilders, recognized as a Fortune 500® company. The Senior Data Scientist role is within the Digital Experience organization, aiming to transform the business into an insights-driven entity by leveraging data and analytics. This position focuses on designing and deploying AI agents and intelligent systems to solve real problems, requiring experience in building agentic AI solutions, reasoning systems, tools, and workflows for production environments. The role emphasizes building quality homes, cost management, and adherence to schedules, contributing to a career focused on making dreams come true.
Requirements
- Bachelor’s degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field — or equivalent experience.
- 6+ years delivering business insights through data science
- 4+ years writing SQL.
- 1+ years building and deploying AI/LLM solutions.
- Demonstrated experience designing and shipping AI agents.
- Proficiency with agentic AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and LLM APIs (OpenAI, Anthropic, Azure OpenAI).
- Hands-on experience building RAG pipelines and integrating vector databases (e.g., Pinecone, Weaviate, pgvector).
- Deep understanding of ML/NLP models, statistics, and machine learning frameworks (scikit-learn, TensorFlow, Keras).
- Strong software engineering fundamentals: code modularity, version control (Git), testing, and documentation.
- Solid understanding of cloud technologies (Azure, AWS), including databases, infrastructure, and automation.
- Willingness to travel up to 10% of the time to divisions within the Lennar family.
- Ability to collaborate effectively and professionally with co-workers across the organization.
- Openness to cross-training for other positions within the team, as required by leadership.
- Commitment to complying with and implementing company policies and procedures.
- Receptive to constructive feedback and dedicated to continuous personal improvement.
- Strong work ethic and a collaborative, team-first mindset.
Responsibilities
- Partner closely with product owners to identify data science and AI opportunities across the organization.
- Design, build, and deploy AI agents that help users solve real world problems through a conversational interfaces.
- Architect agentic workflows, including tools and RAG pipelines.
- Collaborate with the customer experience vertical to deliver actionable insights that drive business decisions.
- Drive continuous improvement through measurement, monitoring, and iterative experimentation on agent performance and reliability.
- Build and operationalize predictive and prescriptive models for internal stakeholders using structured and unstructured data.
- Collaborate with engineering teams to embed agents and models into human-in-the-loop applications.
- Mentor junior data scientists to support their professional growth.
Benefits
- robust health insurance plans, including Medical, Dental, and Vision coverage
- 401(k) Retirement Plan, complete 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
- generous Holiday, Sick Leave, and Personal Day policies
- New Hire Referral Bonus Program
- significant Home Purchase Discounts
- Everyone’s Included Day
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
