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Head Data Science Jobs in Florida (NOW HIRING)

Magnifica Air is seeking a Head of Data and AI to lead the strategy, governance, and execution of ... Required : • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or ...

... the head of UX Research. Responsibilities Conduct quantitative and behavioral research using ... Partner with Product, Data Science, and Product Operations to build scalable systems for behavioral ...

New

Position Overview The Head of Product - Media OS, IQVIA Digital will own the vision, strategy ... Collaborate with Engineering, Data Science, Design, Sales, Marketing, Operations, and Client ...

Position Overview The Head of Product - Media OS, IQVIA Digital will own the vision, strategy ... Collaborate with Engineering, Data Science, Design, Sales, Marketing, Operations, and Client ...

Head Start Teacher

Homestead, FL · On-site

$19.32 - $25.08/hr

HSPPS 1302.31(b)(1)(ii) * Integrate child assessment data in individualized and group planning ... science infused learning opportunities along with Positive Climate, Teacher Sensitivity and ...

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Head Data Science information

See Florida salary details

$17.9K

$87.7K

$162.5K

How much do head data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for head data science in Florida is $87,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,795.00 and $118,692.00 per year, depending on experience, location, and employer.

What does a head data science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are the key skills and qualifications needed to thrive as a head data science?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What are some common challenges faced by a head data science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

What are the most commonly searched types of Data Science jobs in Florida?

The most popular types of Data Science jobs in Florida are:

Infographic showing various Head Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,724 per year, or $42.2 per hour.

Data Science & Analytics Technical Lead

Tampa, FL

Agile Defense
IT Services • 201 - 500 employees

Full-time

Re-posted 22 hours 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.