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Computer Science Economics Jobs in Florida (NOW HIRING)

Knowledge of social science research practices and standards. Knowledge of computer software used in economic models. Knowledge of computer software used in database management and quantitative ...

Qualifications : Required : • Bachelor's degree in a STEM field (e.g., Computer Science ... economics principles to workforce problems. • Experience in analytics product development ...

Knowledge of social science research practices and standards. * Knowledge of computer software used in economic models. * Knowledge of computer software used in database management and quantitative ...

... Computer Science, or Engineering, or equivalent education and related training 2. Exhibit ... econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra ...

Knowledge of social science research practices and standards. * Knowledge of computer software used in economic models. * Knowledge of computer software used in database management and quantitative ...

Knowledge of social science research practices and standards. * Knowledge of computer software used in economic models. * Knowledge of computer software used in database management and quantitative ...

Knowledge of social science research practices and standards. * Knowledge of computer software used in economic models. * Knowledge of computer software used in database management and quantitative ...

Sr. Pricing Manager

Plantation, FL · On-site

$118K - $189K/yr

Bonus: * MBA or advanced degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Finance, or related disciplines. * Experience building elasticity models or algorithmic pricing ...

Bonus: * MBA or advanced degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Finance, or related disciplines. * Experience building elasticity models or algorithmic pricing ...

AI and Data Science Engineer III

Tampa, FL

$108K - $129K/yr

Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ... Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ...

AI and Data Science Engineer III

Miami, FL

$109K - $131K/yr

Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ... Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ...

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Computer Science Economics information

See Florida salary details

$8.2K

$73.2K

$119.9K

How much do computer science economics jobs pay per year?

As of Jun 10, 2026, the average yearly pay for computer science economics in Florida is $73,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $16,400.00 and $119,600.00 per year, depending on experience, location, and employer.

What are the typical responsibilities and daily activities for professionals in a Computer Science Economics role?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

What is a Computer Science Economics job?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

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

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

Can I make 200k with a computer science degree?

Computer Science professionals can potentially earn $200,000 or more annually, especially in high-demand roles such as software engineering, data science, or machine learning, often in tech hubs or with extensive experience and advanced skills. Achieving this salary typically requires several years of experience, specialized knowledge, and sometimes advanced certifications or advanced degrees.
What are popular job titles related to Computer Science Economics jobs in Florida? For Computer Science Economics jobs in Florida, the most frequently searched job titles are:
Infographic showing various Computer Science Economics job openings in Florida as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,234 per year, or $35.2 per hour.
Data Scientist, Global Gaming

Data Scientist, Global Gaming

Carnival Corporation

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Carnival Cruise Line rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

5th of 9 rated cruise lines


Job description

The Data Scientist will support Casino Operations Analytics Team by applying machine learning and advanced analytics to improve operational decision-making and guest experience. Key responsibilities include: Translating operational business questions into analytical and machine learning solutions. Owning projects end-to-end: data exploration, cleaning, feature engineering, modeling, validation, and deployment. Building predictive models for use cases such as: Optimizing product offerings and mix. Analyzing guest play behavior and segmentation. Predicting retention and lifetime value. Demand forecasting and operational planning. Supporting experimentation and incentive effectiveness analysis. Ensuring data integrity and model reliability. Communicating insights clearly to both technical and business stakeholders. Proactively identifying opportunities to improve analytical capabilities within the team. This role offers growth potential, including the opportunity to help expand and shape the team's data science capabilities over time.

Essential Functions:

  • Develop and Implement Predictive & Analytical Models - Design, build, validate, and refine machine learning and statistical models to address operational business problems such as demand forecasting, guest behavior analysis, and product optimization.

  • Data Exploration, Cleaning, and Validation - Perform in-depth data exploration, quality assessment, cleaning, transformation, and feature engineering to ensure reliable inputs for modeling and analysis

  • Translate Business Requirements into Analytical Solutions - Collaborate with operations and analytics stakeholders to define problem statements, success metrics, and analytical approaches aligned with business objectives.

  • Deploy and Maintain Production-Ready Models - Support deployment of models into operational environments, monitor performance, and implement improvements to ensure accuracy and reliability over time.

  • Conduct Experimentation and Performance Analysis - Design and evaluate experiments (A/B testing) and assess effectiveness of operational initiatives, incentives, and product strategies.

  • Demand Forecasting and Operational Planning Support - Develop forecasting models and scenario analyses to support staffing, capacity planning, and operational decision-making.

  • Communicate Insights and Recommendations - Prepare clear summaries, visualizations, and presentations to communicate findings to both technical and non-technical stakeholders.

  • Proactively Identify Opportunities for Analytical Improvement - Identify areas where advanced analytics or machine learning can enhance operational efficiency, guest engagement, or product performance.

Knowledge, Skills & Abilities:

  • Scope: Applies advanced analytics and machine learning to optimize casino operations, enhance guest experience, and support datadriven decisionmaking across forecasting, segmentation, experimentation, and product strategy.

  • Problem solving: Translates complex operational questions into analytical frameworks, builds and validates predictive models, and resolves data quality and modelperformance issues across multiple systems and stakeholders.

  • Impact: Drives measurable improvements in operational efficiency, guest engagement, and revenue outcomes by delivering accurate forecasts, actionable insights, and reliable productionready models.

  • Leadership: Leads endtoend analytical initiatives, elevates team capabilities through proactive innovation, and communicates technical findings clearly to influence decisions across both technical and business partners.

Qualifications:

  • Bachelor's Degree Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or related quantitative field required. Masters Degree Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or related quantitative field preferred.

  • Minimum 4 years of hands-on experience in data science or applied machine learning. Experience building predictive models using real-world, large-scale structured data. Experience delivering models into production or operational environments. Experience working cross-functionally with business stakeholders. Prior casino or gaming industry experience is not required.     

Travel: Less than 25% with shipboard travel likely

Work Conditions: Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

Physical Demands Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.

This position is classified as "in-office."  As an in-office role, it requires employees to work from a designated Carnival office in South Florida Monday through Thursday each week. Employees may work from their homes on Fridays.  Candidates must be located in (or willing to relocate to) the Miami/Ft. Lauderdale area. 

Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience. 

At Carnival, your total rewards package is much more than your base salary. All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan. Director and above roles may also be eligible to participate in Carnival's discretionary equity incentive plan.Plus, Carnival provides comprehensive and innovative benefits to meet your needs, including: 

  • Health Benefits: 

    • Cost-effective medical, dental and vision plans 
    • Employee Assistance Program and other mental health resources 
    • Additional programs include company paid term life insurance and disability coverage 
  • Financial Benefits: 
    • 401(k) plan that includes a company match 
    • Employee Stock Purchase plan 
  • Paid Time Off 
    • Holidays - All full-time and part-time with benefits employees receive days off for 8 company-wide holidays, plus 2 additional floating holidays to be taken at the employee's discretion. 
    • Vacation Time - All full-time employees at the manager and below level start with 14 days/year; director and above level start with 19 days/year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 84 hours/year. All employees gain additional vacation time with further tenure. 
    • Sick Time - All full-time employees receive 80 hours of sick time each year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 60 hours each year. 
  • Other Benefits 
    • Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends 
    • Personal and professional learning and development resources including tuition reimbursement 
    • On-site Fitness center at our Miami campus 

#CCL

#LI-HybridRemote

#LI-TM1

About Us

Carnival Corporation & plc is the world's largest leisure travel company, our mission to deliver unforgettable happiness to our guest through our diverse portfolio of leading cruise brands and island destinations, including Carnival Cruise Line, Holland America Line, Princess Cruises, and Seabourn in North America and Australia; P&O Cruises and Cunard Line in the United Kingdom; AIDA in Germany; Costa Cruises in Southern Europe.


Join us and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a global community that makes a difference.


In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns.


Carnival Corporation & plc and Carnival Cruise Line is an equal employment opportunity/affirmative action employer. In this regard, it does not discriminate against any qualified individual on the basis of sex, race, color, national origin, religion, sexual orientation, age, marital status, mental, physical or sensory disability, or any other classification protected by applicable local, state, federal, and/or international law. 


https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf

https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf