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Data Scientist, Global Gaming
Eicl Fa Em5 Oraclecloud Com CX 1001 · Miami, FL, United States; US Corporate Office, Miami, FL, US · Remote · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Eicl Fa Em5 Oraclecloud Com CX 1001 |
| Title | Data Scientist, Global Gaming |
| Normalized title | - |
| Department / team | Casino |
| Location | Miami, FL, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-29 / 2026-05-31 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eicl Fa Em5 Oraclecloud Com CX 1001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Miami. | Open |
| Department jobs | Active postings in Casino. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Eicl Fa Em5 Oraclecloud Com CX 1001 |
| Source | 33e49c01-b71c-465f-b3fa-a17e1527c6c2 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
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 data ‑ driven decision ‑ making 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 model ‑ performance 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 production ‑ ready models.
Leadership: Leads end ‑ to ‑ end 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-Hybrid Remote
#LI-TM1
Company
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
Full job record
| Job ID | eeacae9fcd1189b850f60d33fc0b74b95459e2fe |
| Org ID | 2f3bcf24-9510-4e11-89a1-bf5b657711b4 |
| Source ID | 33e49c01-b71c-465f-b3fa-a17e1527c6c2 |
| Board ID | 33e49c01-b71c-465f-b3fa-a17e1527c6c2 |
| Provider | oracle_hcm |
| Provider Job Key | 13087 |
| Title | Data Scientist, Global Gaming |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Miami, FL, United States; US Corporate Office, Miami, FL, US |
| Department | Casino |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | FL |
| City | Miami |
| Salary Raw | 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 data ‑ driven decision ‑ making 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 model ‑ performance 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 production ‑ ready models. Leadership: Leads end ‑ to ‑ end 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-Hybrid Remote #LI-TM1 Company 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 |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | week |
| Source URL | https://eicl.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/13087 |
| Apply URL | https://eicl.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/13087 |
| First Seen At | 2026-05-31 17:58:27Z |
| Last Seen At | 2026-06-06 19:53:04Z |
| Last Checked At | 2026-06-06 19:53:04Z |
| Last Changed At | 2026-06-06 11:04:08Z |
| Inactive At | — |
| Source Posted At | 2026-05-29 17:59:16Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=eicl.fa.em5.oraclecloud.com|CX_1001/date=2026-06-06/2026-06-06T19-52-54-904Z-539f9354575dcfe17727452a653da19b666bbc5c65105ef531834cdc428b4a39.json |
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"ExternalDescriptionStr": "<p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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.</span></span></p><p style=\"line-height: normal; margin-bottom: 0in;\"> </p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\"><strong><u>Essential Functions:</u></strong></span></span></p><ul style=\"list-style-type: disc;\"><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Conduct Experimentation and Performance Analysis – Design and evaluate experiments (A/B testing) and assess effectiveness of operational initiatives, incentives, and product strategies.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"color: black; font-family: Tahoma, sans-serif;\"><span style=\"font-size: 10pt;\">Demand Forecasting and Operational Planning Support – Develop forecasting models and scenario analyses to support staffing, capacity planning, and operational decision-making.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Communicate Insights and Recommendations – Prepare clear summaries, visualizations, and presentations to communicate findings to both technical and non-technical stakeholders.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Proactively Identify Opportunities for Analytical Improvement – Identify areas where advanced analytics or machine learning can enhance operational efficiency, guest engagement, or product performance.</span></span></p></li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"> </p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\"><u>Knowledge, Skills & Abilities:</u></span></span></p><ul style=\"list-style-type: disc;\"><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Scope: Applies advanced analytics and machine learning to optimize casino operations, enhance guest experience, and support data</span></span><span style=\"font-family: "Cambria Math", serif;\"><span style=\"font-size: 11pt;\">‑</span></span><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">driven decision</span></span><span style=\"font-family: "Cambria Math", serif;\"><span style=\"font-size: 11pt;\">‑</span></span><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">making across forecasting, segmentation, experimentation, and product strategy.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Problem solving: Translates complex operational questions into analytical frameworks, builds and validates predictive models, and resolves data quality and model</span></span><span style=\"font-family: "Cambria Math", serif;\"><span style=\"font-size: 11pt;\">‑</span></span><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">performance issues across multiple systems and stakeholders.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Impact: Drives measurable improvements in operational efficiency, guest engagement, and revenue outcomes by delivering accurate forecasts, actionable insights, and reliable production</span></span><span style=\"font-family: "Cambria Math", serif;\"><span style=\"font-size: 11pt;\">‑</span></span><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">ready models.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Leadership: Leads end</span></span><span style=\"font-family: "Cambria Math", serif;\"><span style=\"font-size: 11pt;\">‑</span></span><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">to</span></span><span style=\"font-family: "Cambria Math", serif;\"><span style=\"font-size: 11pt;\">‑</span></span><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">end analytical initiatives, elevates team capabilities through proactive innovation, and communicates technical findings clearly to influence decisions across both technical and business partners.</span></span></p></li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"> </p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\"><u>Qualifications:</u></span></span></p><ul style=\"list-style-type: disc;\"><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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.</span></span></p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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. </span></span></p></li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"> </p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\"><u>Travel</u>: </span><span lang=\"EN-GB\" style=\"font-size: 11pt;\">Less than 25% with shipboard travel likely</span></span></p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\"><u>Work Conditions:</u> Work primarily in a climate-controlled environment with minimal safety/health hazard potential.</span></span></p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\"><u>Physical Demands</u> Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.</span></span></p><p style=\"line-height: normal; margin-bottom: 0in;\"> </p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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. </span></span></p><p style=\"line-height: normal; margin-bottom: 0in;\"> </p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience. </span></span></p><p style=\"line-height: normal; margin-bottom: 0in;\"> </p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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: </span></span></p><p style=\"line-height: normal; margin-bottom: 0in;\"> </p><ul style=\"list-style-type: disc;\"><li><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Health Benefits: </span></span></p><ul style=\"list-style-type: circle;\"><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Cost-effective medical, dental and vision plans </span></span></li><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Employee Assistance Program and other mental health resources </span></span></li><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Additional programs include company paid term life insurance and disability coverage </span></span></li></ul></li><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Financial Benefits: </span></span><ul style=\"list-style-type: circle;\"><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">401(k) plan that includes a company match </span></span></li><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Employee Stock Purchase plan </span></span></li></ul></li><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Paid Time Off </span></span><ul style=\"list-style-type: circle;\"><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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. </span></span></li><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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. </span></span></li><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">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. </span></span></li></ul></li><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Other Benefits </span></span><ul style=\"list-style-type: circle;\"><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends </span></span></li><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">Personal and professional learning and development resources including tuition reimbursement </span></span></li><li style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\">On-site Fitness center at our Miami campus </span></span></li></ul></li></ul><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\"> </span></span></p><p style=\"line-height: normal; margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt;\"> </span></span></p><p style=\"line-height: normal; margin-bottom: 0in;\"> </p><p style=\"line-height: normal; margin-bottom: 0in;\"> </p><p style=\"margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">#CCL</span></span></p><p style=\"margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">#LI-Hybrid</span><span style=\"display: none; font-size: 11pt; line-height: 115%;\">Remote</span></span></p><p style=\"margin-bottom: 0in;\"><span style=\"font-family: Arial, sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">#LI-TM1</span></span></p>",
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"CorporateDescriptionStr": "<div>\n <div>\n <div>\n <div>\n <div>\n <p style=\"margin: 0in;\">About Us</p>\n <p style=\"margin: 0in;\">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.</p>\n <p style=\"margin: 0in;\"><br/></p>\n <p style=\"margin: 0in;\">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.</p>\n <p style=\"margin: 0in;\"><br/></p>\n <p style=\"margin: 0in;\">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.</p>\n <p style=\"margin: 0in;\"><br/></p>\n <p style=\"margin: 0in;\">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. </p>\n <p style=\"margin: 0in;\"><br/></p>\n <p style=\"margin: 0in;\"><a href=\"https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf\" target=\"_blank\" rel=\"nofollow\"><span style=\"border: 1pt none windowtext; padding: 0in;\">https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf</span></a></p>\n <p style=\"margin: 0in;\"></p>\n <p class=\"MsoNormal\" style=\"margin-bottom: 0in;\"><a href=\"https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf\" target=\"_blank\" rel=\"nofollow\"><span style=\"border: 1pt none windowtext; padding: 0in;\">https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf</span></a></p>\n <p style=\"margin: 0in;\"></p>\n <p style=\"margin: 0in;\"></p>\n </div>\n <div>\n </div>\n </div>\n </div>\n </div>\n</div>\n<div>\n</div>",
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