Data Scientist II

Lennar•Miami, FL

2d•Onsite

About The Position

The primary mission of the Data Scientist II role is to help our business become a more insights-driven organization. The position sits in our Digital Experience organization, which aims to improve business outcomes using data and analytics across Lennar. The Data Scientist II will support the development of AI, machine learning, and natural language processing solutions, help translate data into actionable insights for internal stakeholders, and contribute to smarter products and services that enhance the homeowner experience and internal operations. A career with purpose. A career built on making dreams come true. A career built on building zero defect homes, cost management, and adherence to schedules.

Requirements

Bachelor’s degree in data science, mathematics, statistics, engineering, computer science, or a related field, or equivalent practical experience.
3+ years of experience applying data science to solve business problems and deliver insights.
2+ years of experience writing SQL.
Exposure to AI or machine learning solutions in a business or academic setting.
Interest in helping transform Lennar into an insights-driven organization.
Ability to frame data science approaches for real-world business problems.
Experience supporting projects that improve business performance through analytics or modeling.
Proficiency in preparing data for analytics, reporting, and machine learning use cases.
Experience developing and validating data science models or analytical solutions in a business, academic, or applied setting.
Working knowledge of machine learning concepts, statistics, and model evaluation techniques.
Experience contributing to data applications, dashboards, or analytics products.
Familiarity with AI, automation, or emerging analytics technologies.
Familiarity with Agile development practices such as Scrum or Kanban.
Experience with machine learning libraries such as scikit-learn, TensorFlow, Keras, or similar tools.
Understanding of core software engineering practices such as version control, testing, and code organization.
Familiarity with cloud platforms, databases, and data infrastructure concepts.
Travel up to 10% of the time to Divisions within the Lennar family.
Interact well with co-workers.
May be required to cross train for position(s) within the team organizational structure from time to time, as required by the Leadership Team.
Comply with and implement company policies and procedures.
Accept constructive criticism.
Strong work ethic.
Team player.

Nice To Haves

Experience with NoSQL or big data technologies is a plus.
Experience with knowledge graphs or graph-based analytics is a plus.

Responsibilities

Build, test, and refine predictive and analytical models for internal stakeholders using structured and unstructured data.
Iterate on the development of AI, including agents and pipelines.
Assist with measurement, monitoring, and analysis to support continuous improvement initiatives.
Prepare, clean, and integrate data from multiple sources using sound analytical and engineering practices.
Collaborate with cross-functional teams to gain access to data and improve data understanding.
Build, test, and refine predictive and analytical models for internal stakeholders using structured and unstructured data.
Partner with engineering teams to support the deployment of models into business applications.
Participate in experimentation and iterative development to improve models and business outcomes.
Communicate technical findings and data science concepts to analysts and non-technical stakeholders.
Contribute to team knowledge sharing and support peers as needed.