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Data Science Project Manager Jobs in Florida (NOW HIRING)

CookUnity

Director, Data Science/ML

Miami, FL

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

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 ...

SOSi

Data Science Lead

Doral, FL · On-site

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 ...

SOSi

Data Science Lead

Doral, FL · On-site

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

Data Scientist

Clearwater, FL

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 ...

SOSi

Data Science Lead

Doral, FL · On-site

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 ...

APTIM

Environmental Project Manager

Boca Raton, 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 ...

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

As of Jul 15, 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 the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

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.

Is 40 too late for data science?

For a Data Science Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

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.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
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
Data Science & Analytics Technical Lead

Data Science & Analytics Technical Lead

Agile Defense

Tampa, FL • On-site

Other

Posted 15 days ago

Job description

About Agile Defense
 
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.

Requisition #: 1706
Job Title: Data Science & Analytics Technical Lead
Location: Tampa, FL
Clearance Level: Top Secret / SCI, Must Have Clearance to Start
Job Description
The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionalble insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs.
 
Job Duties:
  • Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques to solve advanced business problems.
  • Build and improve predictive models for customer behavior, churn prediction, demand forecasting, and other business-critical areas. 
  • Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from structured and unstructured data sources.
  • Develop and implement algorithms for classification, regression, clustering, natural language processing (NLP), and recommendation systems.
  • Collaborate closely with cross-functional teams, including data engineering, product, and business teams, to define data science objectives and translate them into actionable projects. Communicate technical results, findings, and recommendations to stakeholders at all levels, ensuring data-driven strategies are clearly understood and actionable.
  • Lead efforts in feature engineering, hyperparameter tuning, and model validation to ensure high model accuracy, performance, and robustness. Evaluate and apply cutting-edge machine learning frameworks, tools, and techniques to optimize workflows and drive innovation.
  • Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning.
  • Work with data engineers to ensure clean, accurate, and accessible data pipelines, ensuring efficient deployment of data products and models.
Education and Background
  • Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (masters degree or PhD strongly preferred)., and 5+ years of experience in data science, machine learning, or a related role, with a track record of leading successful data science projects., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.
Years of Experience
5+ years
Required Skills
  • The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionable insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs.
  • Have active active TS/SCI clearance
Preferred Skills
  • Five years of experience working in SOF analytical support
  • Three years experience centrally managing distributed data support teams in SOF organizations HQ echelon
  • Three years experience with SOF digital capabilities
  • Three years experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Command
Working Conditions
General Office Environment
Our Core Values
 
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. 
 
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
 
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
 
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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