Data Scientist I at Lennar Homes

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 role is to help our business evolve into an AI-first, insights-driven organization. The position sits in the Enterprise Data and Analytics team, which aims to drive improved business outcomes using insights gleaned from data and analytics and infuse them into Lennar’s corporate fabric. The Data Scientist develops machine learning and natural language processing models and deploy them to production to provide insights and recommendations to the business to improve internal operations, to understand customers, to provide smarter products and services, to create additional revenue, and to drive decision making.

• 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 

• Partner very closely with business analytics teams to understand core business processes and identify data science opportunities across the business.
• Work closely with various business units to deliver actionable insights that lead to high quality business decisions.
• Drive continuous improvement through measurement and monitoring.
• Wrangle and integrate data from various data sources using sound software engineering practice.
• Work with multiple teams and departments to gain access to and understanding of the data.
• Build and operationalize predictive and prescriptive models for a variety of internal stakeholders using both structured and unstructured data sources.
• Work closely with engineering teams to embed models into “human-in-the-loop” applications.
• Hypothesize, experiment, and learn iteratively and quickly, without being afraid to fail.
• Drive increased revenue/decreased cost/decreased risk through data science.
• Apply math and statistics background to develop novel algorithms, models, performance measures, and simulations.
• Tell stories with analytics and insights, adapting level of detail to the proper audience.
• Explain complex data science techniques to data analysts and non-technical users.

Requirements

• Bachelor’s degree in data science, mathematics, statistics, engineering, computer science or equivalent field, or equivalent experience. Master’s degree preferred.
• 2+ years of experience providing insights through data science.
• 2+ years writing SQL.
• Creative and able to analyze, interpret and derive insights, and communicate those to drive change in business.
• Ability to formulate data science solutions to real-world business problems.
• Experience driving increased revenue/decreased cost using data science solutions.
• Proficiency in building data pipelines to feed ML/NLP models.
• Ability to develop and deploy end-to-end data science applications in a corporate setting using machine learning models and pipelines.
• Deep understanding of ML/NLP models and associated mathematics and statistics
• Experience building data applications/products.
• Experience using RPA, AI and other emerging technologies in the Analytics space.
• Familiarity with Agile development such as Scrum or Kanban.
• Experience with Docker, Kubernetes, or similar technologies.
• Proficiency in one or more visualization tools such as Tableau or PowerBI.
• Ability to initiate and drive projects to completion with minimal guidance.
• Ability and willingness to quickly learn new technologies.
• Expertise in programming languages used in data science, such as Python, R and Scala.

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.

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 insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone’s Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar’s policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.

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Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.