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Data Science Project Manager Jobs in Florida (NOW HIRING)

Holland America Group

Senior Data Scientist

Miami, FL · On-site

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 ...

Lennar

Sr Manager, Data Science

Miami, FL · On-site

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... End-to-end project ownership. * Occasional travel for team activities and meetings. * Hybrid work ...

Lennar Homes

Sr Manager, Data Science

Miami, FL

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... End-to-end project ownership. Occasional travel for team activities and meetings. Hybrid work ...

Lennar Homes

Sr Manager, Data Science

Miami, FL

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... End-to-end project ownership. Occasional travel for team activities and meetings. Hybrid work ...

Lincare

Data Scientist

Clearwater, FL · On-site

Manages projects to ensure they are delivered successfully and in a timely manner. * Identifies ... science technologies. * Performs other duties as assigned. * Complies with all policies and ...

APTIM

Environmental Project Manager

Jacksonville, FL

Interpretation and evaluation of scientific data. * Provide technical support to projects in all ... Excellent time management skills and ability to manage multiple activities on an on-going basis by ...

APTIM

Environmental Project Manager

Boca Raton, FL

Interpretation and evaluation of scientific data. * Provide technical support to projects in all ... Excellent time management skills and ability to manage multiple activities on an on-going basis by ...

Lincare

Data Scientist

Clearwater, FL · On-site

... • Manages projects to ensure they are delivered successfully and in a timely manner. • ... using data science technologies. • Performs other duties as assigned. • Complies with all ...

APTIM

Environmental Project Manager

Boca Raton, FL · On-site +1

Interpretation and evaluation of scientific data. * Provide technical support to projects in all ... Excellent time management skills and ability to manage multiple activities on an on-going basis by ...

APTIM

Environmental Project Manager

Jacksonville, FL · On-site

Interpretation and evaluation of scientific data. * Provide technical support to projects in all ... Excellent time management skills and ability to manage multiple activities on an on-going basis by ...

APTIM

Environmental Project Manager

Winter Garden, FL · On-site

Interpretation and evaluation of scientific data. * Provide technical support to projects in all ... Excellent time management skills and ability to manage multiple activities on an on-going basis by ...

CookUnity

Senior Manager, Data Science/ML

Miami, FL

The role: We're looking for a Senior Manager, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

SOSi

Data Science Lead

Doral, FL

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Personnel must have demonstrated experience in developing, deploying, and managing enterprise-level ...

Lincare Holdings, Inc.

Data Scientist

Clearwater, FL · On-site

Manages projects to ensure they are delivered successfully and in a timely manner. * Identifies ... science technologies. * Performs other duties as assigned. * Complies with all policies and ...

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All JobsData Science Project Manager JobsData Science Project Manager Jobs in Florida

Data Science Project Manager information

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How much do data science project manager jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data science project manager in Florida is $42.98, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $50.29 per hour, depending on experience, location, and employer.

What is a Data Science Project Manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.
What are popular job titles related to Data Science Project Manager jobs in Florida? For Data Science Project Manager jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Florida look for? The top searched job categories for Data Science Project Manager jobs in Florida are:
What cities in Florida are hiring for Data Science Project Manager jobs? Cities in Florida with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you
Senior Data Scientist

Senior Data Scientist

Holland America Group

Miami, FL • On-site

Full-time

Medical, Retirement

Posted 17 days ago

Holland America Line rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 9 rated cruise lines

Job description

Job 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 careers@carnival.com.
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