Lennar · 3 days ago
Lead Data Scientist
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ConstructionLifestyle
H1B Sponsorship
Insider Connection @Lennar
Responsibilities
Collaborate with cross-functional teams to identify business problems where data science and machine learning can add value.
Design and execute end-to-end data science projects, from problem definition to modeling, interpretation, and actionable insights.
Utilize statistical techniques, machine learning algorithms, and generative AI approaches to develop algorithms and predictive models.
Explore and use advances in AutoML and other technologies to expedite model development.
Build and maintain a robust machine learning infrastructure, ensuring scalability and efficiency in model development.
Generate hypotheses, design experiments, validate findings, and communicate recommendations.
Ensure data consistency, accuracy, and quality for modeling and analysis.
Extract insights from large datasets and communicate findings to technical and non-technical stakeholders.
Mentor junior data scientists, providing guidance in statistical techniques and generative AI methodologies.
Stay updated on advancements in data science, machine learning, and generative AI to enhance data-driven capabilities.
Engage with external partners for innovation, data sources, and collaboration on projects related to generative AI and machine learning.
Qualification
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Required
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field
At least 7 years of experience working as a Data Scientist/Analyst on data science applications
Proven track record of leading successful data science projects
Experience with tools and programming languages such as Python, R, SQL, and data visualization tools
Demonstrated expertise in data analysis, statistical modeling, machine learning techniques, and generative AI approaches
Proven experience in leading data science projects end-to-end
Strong communication and interpersonal skills
Understanding of the home building industry
Ability to translate business problems into data-driven solutions
Familiarity with asset risk management, scheduling optimization, pricing optimization, financial forecasting, customer segmentation, demand forecasting, and generative AI applications
Ability to think critically, identify patterns, and creatively apply analytical techniques, including generative AI, to solve complex business challenges
Familiarity with data management principles and best practices, including data quality, data privacy, and ethical considerations of working with sensitive data
Willingness to adapt to a fast-paced and rapidly changing environment
Proficiency in building data pipelines to feed ML/NLP models
Expertise in machine learning frameworks such as scikit-learn, TensorFlow, Kera, H20.ai
Strong adherence to core software engineering principles (code modularization, versioning, git, testing etc.)
Proficiency in SQL and RDBMS
Proficiency in cloud technologies and their application to data science
Experience working with NoSQL database systems and big data technologies
Preferred
Master's or PhD in Data Science, Machine Learning, or a related field
Prior experience in implementing generative AI and building a strong machine learning foundation
Prior experience in the home building or real estate industry
Experience building generative AI applications in a business setting
Experience working with knowledge graphs and building data science models on them
Experience working with vendors, research institutions, and industry experts in the field of generative AI and machine learning
Benefits
Performance-based bonuses
Described benefits
Company
Lennar
One of the Nation's leading homebuilders providing homes for first-time, move-up, luxury, urban and active adult buyers.
H1B Sponsorship
Lennar has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (4)
2022 (9)
2021 (3)
2020 (7)
Funding
Current Stage
Public CompanyTotal Funding
$47.2MKey Investors
Berkshire Hathaway
2023-08-14Post Ipo Equity· $17.2M
2014-01-02Post Ipo Debt· $30M
1972-01-01IPO· nyse:LEN
Recent News
2024-06-04
2024-06-04
Company data provided by crunchbase