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Data Science Engineer Jobs in Florida (NOW HIRING)

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Partner with AI Engineering, AI Product, and Data Engineering counterparts to ensure models are ...

Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. * Additional applicable experience may be substituted for formal ...

This role blends deep data science expertise with program analysis, enabling the organization to ... Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks ...

This role blends deep data science expertise with program analysis, enabling the organization to ... Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks ...

Define and execute the product data science strategy, identifying opportunities where ML and ... Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ...

Data Science Associate (Governance)

Lake Mary, FL · On-site

$51K - $52K/yr

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building ... Experience with at least one modern programming language; Python preferred * Working knowledge of ...

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Data Science Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data science engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data science engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

Is AI replacing data scientists?

AI is transforming the role of data science engineers by automating routine tasks and enabling more advanced analysis, but it does not replace the need for skilled professionals who interpret data, develop models, and ensure ethical use. Data scientists and data science engineers are increasingly working alongside AI tools to enhance decision-making and innovation. The demand for expertise in programming, statistical analysis, and machine learning remains strong in the industry.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

Is 40 too late for data science?

Data Science Engineers can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.
What are the most commonly searched types of Data Science Engineer jobs in Florida? The most popular types of Data Science Engineer jobs in Florida are:
What are popular job titles related to Data Science Engineer jobs in Florida? For Data Science Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Florida look for? The top searched job categories for Data Science Engineer jobs in Florida are:
What cities in Florida are hiring for Data Science Engineer jobs? Cities in Florida with the most Data Science Engineer job openings:
Infographic showing various Data Science Engineer job openings in Florida as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.
Sr Manager, Data Science

Other

Medical, Dental, Vision, Retirement

Posted 7 days ago


Lennar rating

7.8

Company rating: 7.8 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

25th of 78 rated construction


Job description

Senior Manager, Data Science 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 Lennar is seeking a Senior Manager of Data Science to lead our centralized DS team within the Applied AI & Data Science function.

This role owns the strategy, delivery, and people leadership of a high-impact team building pricing, forecasting, and predictive models that influence revenue, operations, and capital decisions across the business. The ideal candidate is a hands-on technical leader who can move fluidly between coaching senior data scientists, shaping modeling roadmaps with executive stakeholders, and reviewing the math behind a model when it matters. They bring deep applied ML experience—across pricing, forecasting, supervised learning, and modern ML tooling—and they know how to translate ambiguous business problems into production-grade models that move metrics.

They build teams that ship, document, and own outcomes. You’ll join a high-performing Data & AI organization operating at the intersection of real estate, operations, and AI—leading a team whose models are deployed across 40+ divisions of one of the nation’s largest homebuilders. 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 Lead, coach, and grow a centralized team of data scientists working across pricing, forecasting, demand modeling, and broader predictive analytics—setting standards for technical rigor, code quality, and business impact.

Own the modeling roadmap for the ML team, partnering with business and platform leaders to prioritize use cases, scope deliverables, and align modeling investments to measurable enterprise outcomes. Drive technical depth across the team—reviewing experiment design, feature engineering, model selection, validation strategy, and post-deployment monitoring with the rigor expected of a hands-on senior practitioner. Partner with AI Engineering, AI Product, and Data Engineering counterparts to ensure models are productionized on a modern MLOps stack with proper version control, retraining, and observability.

Translate complex modeling work for executive audiences—framing tradeoffs, expected impact, confidence levels, and risks in language that supports clear decision-making. Build durable cross-functional partnerships with Pricing, Sales Operations, Supply Chain, Finance, and Corporate Analytics to ensure models are adopted, trusted, and tied to measurable business outcomes. Establish team operating cadence including planning, retros, model reviews, and documentation standards that scale as the team and portfolio of models grow.

Recruit, develop, and retain top data science talent—owning hiring loops, leveling decisions, performance management, and career progression for direct reports. Requirements Bachelor’s degree or higher in a quantitative field such as Statistics, Computer Science, Operations Research, Economics, Mathematics, or Engineering. Advanced degree (MS/PhD) preferred.

10+ years of applied data science experience with at least 3 years in a people management role leading data science teams that shipped production models. Strong hands-on background in supervised learning, time-series forecasting, and pricing or revenue optimization models—with proven impact in a production environment. Deep proficiency in Python and the modern ML stack (scikit-learn, XGBoost/LightGBM, pandas), and strong SQL skills for working with large-scale warehouse data.

Experience deploying models on a cloud-native ML platform (AWS SageMaker preferred) and partnering with engineering teams on MLOps practices including model registries, experiment tracking, and retraining pipelines. Proven ability to lead a portfolio of modeling work—prioritizing use cases by business value, managing competing stakeholder demands, and communicating tradeoffs clearly at the executive level. Track record of building, developing, and retaining strong data science talent, including mentoring senior individual contributors and growing first-line data scientists into leaders.

Bonus: Experience in real estate, homebuilding, pricing, supply chain, or other operationally complex industries; experience with causal inference, reinforcement learning, or simulation modeling; exposure to LLM-based ML use cases. What we offer: The opportunity to deliver impact across one of the largest homebuilders in the United States. A corporate culture focused on growth and development.

Freedom to try new impactful ideas. Ability to deploy your work to teams across 40+ divisions and interact directly with those teams. End-to-end project ownership.

Occasional travel for team activities and meetings. Hybrid work schedule with you located in Miami, FL; Bentonville, AR; or Dallas, TX. Healthcare (medical, dental, vision) and 401k matching #LI-GQ1 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. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.

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


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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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