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Applied Computer Science Jobs in Florida (NOW HIRING)

Lennar

Sr Manager, Data Science

Miami, FL · On-site

... 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 ...

Cliftonlarsonallen

Manager of Data Science

Orlando, FL · On-site

... are consistently applied. * Partner with engineering, IT, and data platform teams to enable ... Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data ...

Cliftonlarsonallen

Manager of Data Science

Naples, FL · On-site

... are consistently applied. * Partner with engineering, IT, and data platform teams to enable ... Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data ...

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Applied Computer Science information

What is an Applied Computer Science job?

An Applied Computer Science job focuses on practical applications of computing principles to solve real-world problems. Professionals in this field use programming, algorithms, data analysis, and software development to create efficient solutions in various industries. Unlike theoretical computer science, applied computer science emphasizes hands-on implementation and problem-solving. Careers include roles in software development, cybersecurity, data science, and systems administration. These jobs require both technical expertise and the ability to apply computing knowledge to diverse challenges.

Which CS has the highest salary?

In applied computer science roles, positions such as machine learning engineers, data scientists, and AI specialists tend to have the highest salaries due to their specialized skills and demand. These roles often require expertise in programming, statistics, and tools like Python, TensorFlow, or cloud platforms, and typically offer higher compensation compared to other computer science positions.

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

To thrive in Applied Computer Science, you need a strong understanding of programming, algorithms, and software engineering, usually with a relevant degree such as Computer Science or Software Engineering. Familiarity with development tools, databases, cloud platforms, and possibly certifications in areas like AWS, Azure, or specific programming languages is highly valuable. Problem-solving ability, teamwork, and effective communication are vital soft skills for delivering solutions in collaborative environments. These abilities ensure your technical solutions are robust, efficiently meet user needs, and integrate smoothly into real-world business contexts.

What jobs can you get with applied computing?

Applied computer science prepares individuals for roles such as software developer, data analyst, systems analyst, cybersecurity specialist, and network administrator. These jobs typically require skills in programming, data management, and problem-solving, often using tools like programming languages, databases, and operating systems.

What job makes $10,000 a month without a degree?

In applied computer science, roles such as freelance software developer, cybersecurity consultant, or cloud solutions architect can earn $10,000 or more per month without a formal degree, often requiring strong skills, certifications, and experience. These positions typically involve remote work, self-employment, or contract-based projects in high-demand areas like programming, security, or cloud computing.

What are some common career advancement opportunities for professionals in Applied Computer Science?

Professionals in Applied Computer Science often start in roles such as software developer, systems analyst, or data analyst, and can advance to positions like lead engineer, project manager, or solutions architect with experience. Many organizations encourage ongoing learning through workshops, certifications, and cross-functional projects, allowing for skill-building and specialization in areas like cloud computing, cybersecurity, or artificial intelligence. Some may progress into leadership roles overseeing development teams or managing technical projects. As technology evolves, there is significant potential to transition into new specialties or higher-level positions within the IT and software industry.

What can you do with an applied computer science degree?

An applied computer science degree prepares individuals for roles such as software developer, data analyst, systems analyst, cybersecurity specialist, or network administrator. Graduates can work in technology companies, finance, healthcare, or government agencies, often utilizing programming languages, data management, and problem-solving skills to develop and maintain computer systems and applications.
What are the most commonly searched types of Applied Computer Science jobs in Florida? The most popular types of Applied Computer Science jobs in Florida are:
What are popular job titles related to Applied Computer Science jobs in Florida? For Applied Computer Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Applied Computer Science jobs in Florida look for? The top searched job categories for Applied Computer Science jobs in Florida are:
Applied Computer Science jobs near you
Infographic showing various Applied Computer Science job openings in Florida as of June 2026, with employment types broken down into 41% Full Time, 56% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Sr Manager, Data Science

Sr Manager, Data Science

Lennar

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 10 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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