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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** Lennar Corporation - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $152,600.0 - $190,700.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Python (Programming Language), Machine Learning, Natural Language Processing, Software Deployment, SQL Databases, Systems Integration, Data Logging, Enterprise Software Applications, Transfer Learning, Large Language Models, Multi-Agent Systems, Prompt Engineering, Computer Equipment, Information Technology, Feature Extraction, Virtual Agents, Data Pipelines, Microservices - **Published:** June 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=702f2e31678fb708 ## About the Role Do you have experience in Testing and evaluation?, Do you have a Bachelor's degree?, * 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 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 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. ## Description * 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. ## Related Videos - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified) - [Build Delightful Mobile Experiences with Kotlin, Realm, and Atlas Device Sync](https://www.wearedevelopers.com/videos/694-build-delightful-mobile-experiences-with-kotlin-realm-and-atlas-device-sync) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)