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.
Experience with NoSQL or big data technologies is a plus.
Experience with knowledge graphs or graph-based analytics is a plus.
Physical & Office/Site Presence Requirements:
This is primarily a sedentary office position which requires he position to have the ability to operate computer equipment. Finger dexterity is necessary.
Additional Requirements:
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.
A ccept constructive criticism.
Strong work ethic.
Team player.
This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice.
Life at Lennar
At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health in
Benefits
Health insuranceVision insurance
Additional Information
We are Lennar
Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.
Join a Company that Empowers you to Build your Future
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.
Your Responsibilities on the Team
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.
Lennar · Miami