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Head Data Science Jobs in Florida (NOW HIRING)

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 ...

Head Start Teacher

Homestead, FL · On-site

$19.42 - $26.18/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 ...

You apply advanced analytics and data science techniques to ensure the accuracy and maximization of ... This gig is based at VVHQ - our swanky Virgin Voyages Head Office in Plantation, FL where we follow ...

Head Of Customer Success Lead Customer Outcomes. Build a World-Class Customer Success Function ... Bachelor's degree in engineering, Business, Computer Science, Data Analytics, or a related field ...

Showing results 21-40

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 7, 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 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 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 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,724 per year, or $42.2 per hour.

Location Analytics Developer - Lakeland

Publix Super Markets, Inc.

Lakeland, FL • On-site

Other

Re-posted 28 days ago


Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,664 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores


Job description

The purpose of this position is to provide location specific recommendations, whether at the store, market or customer level, in support of Real Estate, Operations, Marketing, BAR, Emerging Business, Loss Prevention, Human Resources, alternative business concepts, IS/TS, and merchandising initiatives with a focus on automation and self-service for our business partners. This allows the team to continue to take on additional workload with a small head-count.
Example: Optimize store layouts, merchandising changes based on shifting demographics surrounding our stores, assisting with site selection for new stores, developing applications/programs/processes with a focus on automation for the business partner.
The impact this position has on Publix is directly related to the success of our stores/initiatives. Location is extremely important in success.
Responsibilities include:
  • Analysis & Report Automation: Maintain/develop a self-serve environment that allows department-specific users to exploit Spatial Data Science & GIS' expertise using developed applications that provide data-backed solutions to the asked business question(s).
  • Research, summarize, analyze, synthesize, and visualize multiple datasets from internal sources (BAR, IS, RE, CRM, MBA, CI, LP...etc.) and external sources (competition, sales, demographics, purchase behaviors, customer data...etc.) into a comprehensive final deliverable (report, presentation, infographic, map, story-map...etc.) that enables decision makers to quickly advance our business backed by data driven decision-making.
  • Support the innovation and enable the Spatial Data Science & GIS Team to maintain a high level of awareness of location-based data, systems, processes.
  • Manage existing contracts and renewals to ensure Publix is not in breach of contract, and there is no lapse in data/service providers
  • Train GIS Analysts on Location Analytics and the skillsets needed to progress into a Location Analytics Developer (spatial statistics, Alteryx, existing methodologies/processes...etc.)
  • Dedicating time to Marketing innovation and quality improvement.
  • managing special Marketing related assignments, which can include but is not limited to: project management, executing reporting and presenting results to executive leadership.

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