Home › Companies › Eicl Fa Em5 Oraclecloud Com CX 5001 › Senior Data Scientist
Senior Data Scientist
Eicl Fa Em5 Oraclecloud Com CX 5001 · 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 5001 |
| Title | Senior Data Scientist |
| Normalized title | - |
| Department / team | Revenue Management |
| 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 | 2026-04-24 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eicl Fa Em5 Oraclecloud Com CX 5001. | 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 Revenue Management. | 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 5001 |
| Source | 5af7cb55-8823-410e-bea6-b010a2084e44 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
One of the best-known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply can’t. The Love Boat promises something for everyone.
We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely complex revenue management system (YODA) which was a finalist for the Edelman Awards in 2020. This system provides millions of daily recommendations which assist revenue managers in correctly pricing cruises and is used across seven brands within Carnival Corporation. YODA Data Scientists play a key role in the success of the system by ensuring that the system works effectively and continues to be the leading system within the cruise industry. This position resides in a Princess team but is part of a global data science community. With limited oversight, this role will apply their deep knowledge of the system and its complexities and their extensive experience in data science to develop improvements to YODA. This will be focused on improvements to the machine learning and artificial intelligence systems / algorithms (ML/AI) and their configuration. This role will support the process of having changes implemented by development teams into the production system, especially where the changes are difficult and complex and mostly interact with other data scientist.
Here’s a summary of what Princess is looking for in a Sr. Data Scientist. Is this you?
Responsibilities:
REVENUE MANAGEMENT SYSTEM (RMS) SUPPORT: Provide coaching and support to colleagues (including ones on other teams) who may require it. Provide training and support for other data scientists on global teams to prioritize and develop improvements to the RMS. Data science teams exist in Miami, Seattle, Italy, Germany, and the UK to support this development. Utilize extensive scientific and technical knowledge of YODA to provide a level of escalated support for users in cases that cannot be handled withing the brand data science teams. This is an escalated level of support where other resources have been unable to identify the source of the anomaly. Acquire a deep understanding of the business to be able to work out a compromise of the science recommendations and business constraints. In addition to applying your detailed technical knowledge, this involves understanding the business, listening to concerns of analysts, and influencing the final solution which can often be a compromise of the science recommendations and business constraints. This will be done in challenging cases where brand resources are unable to resolve issues. Apply your technical knowledge and experience to undertake difficult troubleshooting of science elements of YODA to determine the cause of anomalous results and identify areas for improvements. This is typically achieved by using SQL queries to examine the workings of the scientific modules in specific cases. Again, this is an escalated level of support where local brand resources have been unable to identify the source of the anomaly
RMS IMPROVEMENTS AND GLOBAL COLLABORATION: Working independently, gather requirements and discuss modelling results with data teams distributed globally. This will require some meetings outside of normal office hours, but within normal waking hours (0700 – 2100). With limited oversight, develop and prototype improvements to ML/AI elements of the RMS, with the goal of continuous improvement for revenue. Create innovative solutions for business problems within the RMS using state of the art data science methods and tools. Present developed prototype modules and models to the wider data science community. To undertake these functions, it is expected that travel to our international offices will be needed on a regular basis. This may involve travel up to ~25% of the time.
DRIVE IMRPROVEMENTS THROUGH DATA-DRIVEN PROJECTS: As a member of the Data Science team, collaborate with key senior staff across brands as directed on topics of interest to key stakeholders. Use insights garnered from analytical studies to influence decision making and promote data science within the data science community of the corporation. As required, collaborate with other teams to jointly develop plans for data science projects. Stay up to date with latest technologies and tools within the field of data science, revenue management and Artificial Intelligence. Actively engage in the wider AI community attending conferences and build a network of specialists in the area.
Knowledge & Skills:
Required:
Proven record of working in teams to identify and solve problems and influence decision making.
Ability to apply background in statistics, statistical modelling, and/or machine learning to real world problems.
Experience working with large pieces of software which include AI systems or ML, or on large similar projects, that operated using an agile project management framework.
Strong interpersonal skills, with the ability to be an active part of a team with significant experience
The ability to communicate complex concepts to non-experts
High level of self-organization skills and attention to detail, with the ability to prioritize, use initiative and work to deadlines
Eagerness to learn new skills and ability adapt to changing circumstances
Customer Focus - a commitment to delivering a great customer experience
Business Acumen - knows how personal objectives align with business objectives
Curiosity to learn more and push the boundaries of what is possible with technology and data science
Promoter of both ethical and responsible AI with a drive to make things better.
Extensive experience with databases (e.g. SQL) and/or visualization/statistical software such as Power BI or similar. Experience with Cloud systems including the Snowflake ecosystem (including Snowpark) would be highly valued.
Extensive experience creating and tuning ML models from EDA to production level deployment using Python (or similar language)
Desirable:
Experience in working with remote and/or global distributed teams.
Experience in optimization techniques and generative AI (GenAI).
Intermediate language skills in Italian or German would be an advantage.
Requirements:
A masters or other advanced degree in a quantitative discipline such as mathematics, physics, science, engineering, computer science etc. A bachelor’s degree may be appropriate with strong evidence of ongoing technical learning and work experience.
5-7 years of experience working as a data scientist, some of this experience could be mitigated with an appropriate advanced degree. Experience in working with non-scientifically trained staff to achieve mutual goals. Experience working in teams to identify and solve problems and influence decision making. Ability to code at an advanced level in at least one computer programming language such as Python, R, SQL.
Travel: Less than 25% non-shipboard travel likely
Work Conditions:
Physical Demands:
This position is classified as “Hybrid.” As a Hybrid role, it requires employees to work from a designated Princess office Monday through Thursday each week. Employees may work from their homes on Fridays.
Princess provides comprehensive and innovative benefits to meet your needs, including:
What You Can Expect
Cruise and Travel Privileges for You and Your Family Health Benefits 401(k) Employee Stock Purchase Plan Training & Professional Development Tuition & Professional Certification Reimbursement Rewards & Incentives
Our Culture… Stronger Together
Our highest responsibility and top priority is compliance, environmental protection and the health, safety and well-being of our guests, the people in the communities we touch and serve, and our shipboard and shoreside employees. Please visit our site to learn more about our Culture Essentials, Corporate Vision Statement and our Core Values at: princess.com/en-us/company-information
Princess is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Americans with Disabilities Act (ADA)
Princess will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact [email protected] .
#PCL
#LI-Hybrid
#LI-SF1
Full job record
| Job ID | 051f95311936a4205f4f56e57e58864d0624b002 |
| Org ID | 8267466a-12cc-4224-a646-752c69349d9a |
| Source ID | 5af7cb55-8823-410e-bea6-b010a2084e44 |
| Board ID | 5af7cb55-8823-410e-bea6-b010a2084e44 |
| Provider | oracle_hcm |
| Provider Job Key | 12396 |
| Title | Senior Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Miami, FL, United States; US Corporate Office, Miami, FL, US |
| Department | Revenue Management |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | FL |
| City | Miami |
| Salary Raw | Description One of the best-known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply can’t. The Love Boat promises something for everyone. We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely complex revenue management system (YODA) which was a finalist for the Edelman Awards in 2020. This system provides millions of daily recommendations which assist revenue managers in correctly pricing cruises and is used across seven brands within Carnival Corporation. YODA Data Scientists play a key role in the success of the system by ensuring that the system works effectively and continues to be the leading system within the cruise industry. This position resides in a Princess team but is part of a global data science community. With limited oversight, this role will apply their deep knowledge of the system and its complexities and their extensive experience in data science to develop improvements to YODA. This will be focused on improvements to the machine learning and artificial intelligence systems / algorithms (ML/AI) and their configuration. This role will support the process of having changes implemented by development teams into the production system, especially where the changes are difficult and complex and mostly interact with other data scientist. Here’s a summary of what Princess is looking for in a Sr. Data Scientist. Is this you? Responsibilities: REVENUE MANAGEMENT SYSTEM (RMS) SUPPORT: Provide coaching and support to colleagues (including ones on other teams) who may require it. Provide training and support for other data scientists on global teams to prioritize and develop improvements to the RMS. Data science teams exist in Miami, Seattle, Italy, Germany, and the UK to support this development. Utilize extensive scientific and technical knowledge of YODA to provide a level of escalated support for users in cases that cannot be handled withing the brand data science teams. This is an escalated level of support where other resources have been unable to identify the source of the anomaly. Acquire a deep understanding of the business to be able to work out a compromise of the science recommendations and business constraints. In addition to applying your detailed technical knowledge, this involves understanding the business, listening to concerns of analysts, and influencing the final solution which can often be a compromise of the science recommendations and business constraints. This will be done in challenging cases where brand resources are unable to resolve issues. Apply your technical knowledge and experience to undertake difficult troubleshooting of science elements of YODA to determine the cause of anomalous results and identify areas for improvements. This is typically achieved by using SQL queries to examine the workings of the scientific modules in specific cases. Again, this is an escalated level of support where local brand resources have been unable to identify the source of the anomaly RMS IMPROVEMENTS AND GLOBAL COLLABORATION: Working independently, gather requirements and discuss modelling results with data teams distributed globally. This will require some meetings outside of normal office hours, but within normal waking hours (0700 – 2100). With limited oversight, develop and prototype improvements to ML/AI elements of the RMS, with the goal of continuous improvement for revenue. Create innovative solutions for business problems within the RMS using state of the art data science methods and tools. Present developed prototype modules and models to the wider data science community. To undertake these functions, it is expected that travel to our international offices will be needed on a regular basis. This may involve travel up to ~25% of the time. DRIVE IMRPROVEMENTS THROUGH DATA-DRIVEN PROJECTS: As a member of the Data Science team, collaborate with key senior staff across brands as directed on topics of interest to key stakeholders. Use insights garnered from analytical studies to influence decision making and promote data science within the data science community of the corporation. As required, collaborate with other teams to jointly develop plans for data science projects. Stay up to date with latest technologies and tools within the field of data science, revenue management and Artificial Intelligence. Actively engage in the wider AI community attending conferences and build a network of specialists in the area. Knowledge & Skills: Required: Proven record of working in teams to identify and solve problems and influence decision making. Ability to apply background in statistics, statistical modelling, and/or machine learning to real world problems. Experience working with large pieces of software which include AI systems or ML, or on large similar projects, that operated using an agile project management framework. Strong interpersonal skills, with the ability to be an active part of a team with significant experience The ability to communicate complex concepts to non-experts High level of self-organization skills and attention to detail, with the ability to prioritize, use initiative and work to deadlines Eagerness to learn new skills and ability adapt to changing circumstances Customer Focus - a commitment to delivering a great customer experience Business Acumen - knows how personal objectives align with business objectives Curiosity to learn more and push the boundaries of what is possible with technology and data science Promoter of both ethical and responsible AI with a drive to make things better. Extensive experience with databases (e.g. SQL) and/or visualization/statistical software such as Power BI or similar. Experience with Cloud systems including the Snowflake ecosystem (including Snowpark) would be highly valued. Extensive experience creating and tuning ML models from EDA to production level deployment using Python (or similar language) Desirable: Experience in working with remote and/or global distributed teams. Experience in optimization techniques and generative AI (GenAI). Intermediate language skills in Italian or German would be an advantage. Requirements: A masters or other advanced degree in a quantitative discipline such as mathematics, physics, science, engineering, computer science etc. A bachelor’s degree may be appropriate with strong evidence of ongoing technical learning and work experience. 5-7 years of experience working as a data scientist, some of this experience could be mitigated with an appropriate advanced degree. Experience in working with non-scientifically trained staff to achieve mutual goals. Experience working in teams to identify and solve problems and influence decision making. Ability to code at an advanced level in at least one computer programming language such as Python, R, SQL. Travel: Less than 25% non-shipboard travel likely Work Conditions: Physical Demands: This position is classified as “Hybrid.” As a Hybrid role, it requires employees to work from a designated Princess office Monday through Thursday each week. Employees may work from their homes on Fridays. Princess provides comprehensive and innovative benefits to meet your needs, including: What You Can Expect Cruise and Travel Privileges for You and Your Family Health Benefits 401(k) Employee Stock Purchase Plan Training & Professional Development Tuition & Professional Certification Reimbursement Rewards & Incentives Our Culture… Stronger Together Our highest responsibility and top priority is compliance, environmental protection and the health, safety and well-being of our guests, the people in the communities we touch and serve, and our shipboard and shoreside employees. Please visit our site to learn more about our Culture Essentials, Corporate Vision Statement and our Core Values at: princess.com/en-us/company-information Princess is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Americans with Disabilities Act (ADA) Princess will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact [email protected] . #PCL #LI-Hybrid #LI-SF1 |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | day |
| Source URL | https://eicl.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_5001/job/12396 |
| Apply URL | https://eicl.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_5001/job/12396 |
| First Seen At | 2026-05-31 18:00:36Z |
| Last Seen At | 2026-06-06 20:27:24Z |
| Last Checked At | 2026-06-06 20:27:24Z |
| Last Changed At | 2026-05-31 18:00:36Z |
| Inactive At | — |
| Source Posted At | 2026-04-24 22:48:50Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=eicl.fa.em5.oraclecloud.com|CX_5001/date=2026-06-06/2026-06-06T20-27-19-070Z-93e1a74b124c85482204e17145c2eb83e4f94646208ac8250c5b888406f1e0a6.json |
Event Fields
{
"content_hash": "64b4f0fa1683c716f5e43c6bfaac105b0e985df88c5ad27bc3bb3386d4c6e094",
"source_hash": "30ed736e84a74a912d1b7cae36b466fe98e98ccfd5cf4edb582dd7a4f480b467",
"last_changed_at": "2026-05-31T18:00:36.999Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Miami, FL, United States",
"city": "Miami",
"region": "FL",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T20:27:24.255Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Miami, FL, United States",
"city": "Miami",
"region": "FL",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": "remote",
"salary_period": "day",
"workplace_type": "remote",
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"Id": "12396",
"Title": "Senior Data Scientist",
"media": [],
"skills": [],
"JobType": null,
"Category": "Revenue Management",
"JobGrade": null,
"JobLevel": null,
"JobShift": null,
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": null,
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 300000006512665,
"JobFamilyId": 300000805364906,
"JobFunction": null,
"JobSchedule": "Full time",
"BusinessUnit": null,
"ContractType": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": "US",
"Region1": "Miami-Dade",
"Region2": "FL",
"Region3": null,
"Building": null,
"Latitude": "25.84431",
"Longitude": "-80.3716",
"LocationId": 300000011530356,
"PostalCode": "33178",
"TownOrCity": "Miami",
"AddressLine1": "3655 NW 87th Avenue",
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "US Corporate Office"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300001363162383,
"WorkplaceType": "",
"BusinessUnitId": 300000208327796,
"OrganizationId": 300000002210040,
"GeographyNodeId": 100003534609434,
"JobFunctionCode": null,
"LegalEmployerId": null,
"PrimaryLocation": "Miami, FL, United States",
"RequisitionType": "Professional",
"NumberOfOpenings": null,
"WorkplaceTypeCode": null,
"BeFirstToApplyFlag": false,
"otherWorkLocations": [],
"secondaryLocations": [],
"ExternalContactName": null,
"ShortDescriptionStr": "",
"ExternalContactEmail": null,
"ExternalPostedEndDate": null,
"OtherRequisitionTitle": null,
"requisitionFlexFields": [],
"ApplyWhenNotPostedFlag": false,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">One of the best-known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply can’t. The Love Boat promises something for everyone. </span></span></p><p style=\"margin-bottom:0in;\"> </p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely complex revenue management system (YODA) which was a finalist for the Edelman Awards in 2020. This system provides millions of daily recommendations which assist revenue managers in correctly pricing cruises and is used across seven brands within Carnival Corporation. YODA Data Scientists play a key role in the success of the system by ensuring that the system works effectively and continues to be the leading system within the cruise industry. This position resides in a Princess team but is part of a global data science community. With limited oversight, this role will apply their deep knowledge of the system and its complexities and their extensive experience in data science to develop improvements to YODA. This will be focused on improvements to the machine learning and artificial intelligence systems / algorithms (ML/AI) and their configuration. This role will support the process of having changes implemented by development teams into the production system, especially where the changes are difficult and complex and mostly interact with other data scientist.</span></span></p><p style=\"margin-bottom:0in;\"> </p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Here’s a summary of what Princess is looking for in a Sr. Data Scientist. Is this you? </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"> </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"><strong>Responsibilities:</strong> </span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">REVENUE MANAGEMENT SYSTEM (RMS) SUPPORT: Provide coaching and support to colleagues (including ones on other teams) who may require it. Provide training and support for other data scientists on global teams to prioritize and develop improvements to the RMS. Data science teams exist in Miami, Seattle, Italy, Germany, and the UK to support this development. Utilize extensive scientific and technical knowledge of YODA to provide a level of escalated support for users in cases that cannot be handled withing the brand data science teams. This is an escalated level of support where other resources have been unable to identify the source of the anomaly. Acquire a deep understanding of the business to be able to work out a compromise of the science recommendations and business constraints. In addition to applying your detailed technical knowledge, this involves understanding the business, listening to concerns of analysts, and influencing the final solution which can often be a compromise of the science recommendations and business constraints. This will be done in challenging cases where brand resources are unable to resolve issues. Apply your technical knowledge and experience to undertake difficult troubleshooting of science elements of YODA to determine the cause of anomalous results and identify areas for improvements. This is typically achieved by using SQL queries to examine the workings of the scientific modules in specific cases. Again, this is an escalated level of support where local brand resources have been unable to identify the source of the anomaly</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">RMS IMPROVEMENTS AND GLOBAL COLLABORATION: Working independently, gather requirements and discuss modelling results with data teams distributed globally. This will require some meetings outside of normal office hours, but within normal waking hours (0700 – 2100). With limited oversight, develop and prototype improvements to ML/AI elements of the RMS, with the goal of continuous improvement for revenue. Create innovative solutions for business problems within the RMS using state of the art data science methods and tools. Present developed prototype modules and models to the wider data science community. To undertake these functions, it is expected that travel to our international offices will be needed on a regular basis. This may involve travel up to ~25% of the time.</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">DRIVE IMRPROVEMENTS THROUGH DATA-DRIVEN PROJECTS: As a member of the Data Science team, collaborate with key senior staff across brands as directed on topics of interest to key stakeholders. Use insights garnered from analytical studies to influence decision making and promote data science within the data science community of the corporation. As required, collaborate with other teams to jointly develop plans for data science projects. Stay up to date with latest technologies and tools within the field of data science, revenue management and Artificial Intelligence. Actively engage in the wider AI community attending conferences and build a network of specialists in the area.</span></span></p></li></ul><p style=\"margin-bottom:0in;\"> </p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"><strong>Knowledge & Skills:</strong></span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Required: </span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Proven record of working in teams to identify and solve problems and influence decision making.</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Ability to apply background in statistics, statistical modelling, and/or machine learning to real world problems.</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Experience working with large pieces of software which include AI systems or ML, or on large similar projects, that operated using an agile project management framework. </span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Strong interpersonal skills, with the ability to be an active part of a team with significant experience</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">The ability to communicate complex concepts to non-experts</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">High level of self-organization skills and attention to detail, with the ability to prioritize, use initiative and work to deadlines </span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Eagerness to learn new skills and ability adapt to changing circumstances</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Customer Focus - a commitment to delivering a great customer experience</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Business Acumen - knows how personal objectives align with business objectives </span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Curiosity to learn more and push the boundaries of what is possible with technology and data science</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Promoter of both ethical and responsible AI with a drive to make things better.</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Extensive experience with databases (e.g. SQL) and/or visualization/statistical software such as Power BI or similar. Experience with Cloud systems including the Snowflake ecosystem (including Snowpark) would be highly valued.</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Extensive experience creating and tuning ML models from EDA to production level deployment using Python (or similar language)</span></span></p></li></ul><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Desirable:</span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Experience in working with remote and/or global distributed teams. </span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Experience in optimization techniques and generative AI (GenAI).</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Intermediate language skills in Italian or German would be an advantage.</span></span></p></li></ul><p style=\"margin-bottom:0in;\"> </p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"><strong>Requirements:</strong> </span></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">A masters or other advanced degree in a quantitative discipline such as mathematics, physics, science, engineering, computer science etc. A bachelor’s degree may be appropriate with strong evidence of ongoing technical learning and work experience.</span></span></p></li><li><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">5-7 years of experience working as a data scientist, some of this experience could be mitigated with an appropriate advanced degree. Experience in working with non-scientifically trained staff to achieve mutual goals. Experience working in teams to identify and solve problems and influence decision making. Ability to code at an advanced level in at least one computer programming language such as Python, R, SQL.</span></span></p></li></ul><p style=\"margin-bottom:0in;\"> </p><p style=\"line-height:normal;margin-bottom:0in;\"><a name=\"_Hlk219367200\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"><u>Travel:</u></span></span></a><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"> Less than 25% non-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:11.0pt;\"><u>Work Conditions:</u> </span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"><u>Physical Demands:</u> </span></span></p><p style=\"margin-bottom:0in;\"> </p><p style=\"margin-bottom:0in;\"><span style=\"color:#201F1E;font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">This position is classified as “Hybrid.” As a Hybrid role, it requires employees to work from a designated Princess office Monday through Thursday each week. Employees may work from their homes on Fridays. </span></span></p><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"color:#201F1E;font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\">Princess provides comprehensive and innovative benefits to meet your needs, including:</span></span></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:11.0pt;line-height:115%;\"><strong>What You Can Expect</strong> </span></span></p><ul style=\"list-style-type:disc;\"><li style=\"margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Cruise and Travel Privileges for You and Your Family </span></span></li><li style=\"margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Health Benefits </span></span></li><li style=\"margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">401(k) </span></span></li><li style=\"margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Employee Stock Purchase Plan </span></span></li><li style=\"margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Training & Professional Development </span></span></li><li style=\"margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Tuition & Professional Certification Reimbursement </span></span></li><li style=\"margin-bottom:0in;tab-stops:list .5in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Rewards & Incentives </span></span></li></ul><p style=\"line-height:normal;margin-bottom:0in;\"><span style=\"color:#201F1E;font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;\"> </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"><strong>Our Culture… Stronger Together</strong> </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"> </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Our highest responsibility and top priority is compliance, environmental protection and the health, safety and well-being of our guests, the people in the communities we touch and serve, and our shipboard and shoreside employees. Please visit our site to learn more about our Culture Essentials, Corporate Vision Statement and our Core Values at: </span></span><a href=\"https://www.princess.com/en-us/company-information\" target=\"_blank\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">princess.com/en-us/company-information</span></span></a><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"> </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"> </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Princess is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"> </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"><strong>Americans with Disabilities Act (ADA)</strong> </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">Princess will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact </span></span><a href=\"mailto:[email protected]\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">[email protected]</span></span></a><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">. </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\"> </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">#PCL </span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">#LI-Hybrid</span></span></p><p style=\"margin-bottom:0in;\"><span style=\"font-family:"Arial",sans-serif;\"><span style=\"font-size:11.0pt;line-height:115%;\">#LI-SF1</span></span></p>",
"ObjectVerNumberProfile": "1",
"PrimaryLocationCountry": "US",
"CorporateDescriptionStr": "",
"ExternalPostedStartDate": "2026-04-24T22:48:50+00:00",
"ExternalQualificationsStr": "",
"InternalQualificationsStr": "",
"OrganizationDescriptionStr": "",
"primaryLocationCoordinates": [
{
"Latitude": "25.77481",
"Longitude": "-80.19773",
"CountryCode": "US",
"GeographyId": 300000006512665,
"GeographyNodeId": 100003534609434
}
],
"ExternalResponsibilitiesStr": "",
"InternalResponsibilitiesStr": "",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "12396",
"Title": "Senior Data Scientist",
"JobType": null,
"Distance": 1776988800000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 3,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-04-24",
"StudyLevel": null,
"WorkerType": null,
"GeographyId": 300000006512665,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"ManagerLevel": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": "US",
"Region1": "Miami-Dade",
"Region2": "FL",
"Region3": null,
"Building": null,
"Latitude": 25.84431,
"Longitude": -80.3716,
"LocationId": 300000011530356,
"PostalCode": "33178",
"TownOrCity": "Miami",
"AddressLine1": "3655 NW 87th Avenue",
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "US Corporate Office"
}
],
"LegalEmployer": null,
"MediaThumbURL": null,
"WorkplaceType": "",
"BusinessUnitId": 300000208327796,
"OrganizationId": 300000002210040,
"PostingEndDate": null,
"LegalEmployerId": null,
"PrimaryLocation": "Miami, FL, United States",
"WorkDurationYears": null,
"WorkplaceTypeCode": null,
"BeFirstToApplyFlag": false,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [],
"ShortDescriptionStr": "",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "US",
"ExternalQualificationsStr": null,
"ExternalResponsibilitiesStr": null,
"InternationalTravelRequired": null
},
"detail_meta": {
"url": "https://eicl.fa.em5.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2212396%22,siteNumber=CX_5001",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 23045
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/051f95311936a4205f4f56e57e58864d0624b002?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/8267466a-12cc-4224-a646-752c69349d9aJSONGET https://api.bluedoor.sh/job-postings/v1/sources/5af7cb55-8823-410e-bea6-b010a2084e44JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/051f95311936a4205f4f56e57e58864d0624b002/eventsJSON