Lead Data Scientist

Lennar

Lead Data Scientist at Lennar designing AI-driven solutions for pricing, sales, and customer experiences. Collaborates across teams to deliver innovative data science initiatives.

Posted 6/6/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesSenior💰 $152,600 - $190,700 per yearWebsite

Tech Stack

Tools & technologies

MicroservicesPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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
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 AI agent observability (evaluation frameworks like LangFuse, RAGAS, Weights & Biases, custom monitoring)
Experience with system integrations: APIs, A2A protocol, MCP servers, orchestration pipelines
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

Benefits

Comp & perks

Health insurance
401(k) Retirement Plan with $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
Holiday, Sick Leave, and Personal Day policies
New Hire Referral Bonus Program
Home Purchase Discounts
Everyone’s Included Day

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLmachine visionfeature extractionA/B testingmulti-armed banditsuplift modelingdata pipelinesAI development frameworksNLP techniques

Soft Skills

collaborative communicationnavigating ambiguityprototypingstakeholder alignmenttranslating complex conceptsfeedback gatheringadaptabilityproblem-solvingorganizational skillstransparency

Certifications

Bachelor’s degreeMaster’s degreePhDData Science certificationMachine Learning certification