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Behavioral Data Science Jobs in Florida (NOW HIRING)

Publix

Marketing Analytics Data Scientist

Lakeland, FL · On-site

$8.1K - $12K/mo

Developing and implementing scalable Data Science Analytical Solutions that rely on machine ... behavior * Building learning systems that monitor data flows and react to changes in customer ...

Brooksource

Lead Data Scientist

Miami, FL · On-site

$80 - $95/hr

... behavior, limitations, and decision implications. * Partner with AI Engineering to deploy models ... Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Operations Research ...

PODS

Data Scientist III- Operations

Clearwater, FL · On-site

... Science & AI and work with senior data scientists and operational stakeholders to develop ... Essential Skills, Abilities and Example Behavior(s) * Mathematical optimization: Hands-on ...

Elevance Health

Data Scientist

Tampa, FL · Hybrid

Developing and maintaining data science models, detection analytics, and behavioral algorithms for cybersecurity use cases. * Performing proactive threat hunting activities using large-scale ...

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Behavioral Data Science information

See Florida salary details

$19.1K

$85.5K

$159.3K

How much do behavioral data science jobs pay per year?

As of Sep 15, 2026, the average yearly pay for behavioral data science in Florida is $85,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,990.00 and $116,303.00 per year, depending on experience, location, and employer.

What is behavioral data science?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What types of projects or problems do behavioral data scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.

What are the key skills and qualifications needed to thrive in behavioral data science, and why are they important?

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

Is behavioral data science in high demand?

Behavioral data science is in high demand across industries such as marketing, finance, and technology due to its focus on understanding human behavior through data analysis and machine learning. Professionals with skills in statistical modeling, programming, and behavioral psychology are sought after as organizations leverage data-driven insights to improve decision-making and user experience.

What does a behavioral data scientist do?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning, and data visualization tools to interpret complex datasets and often work with psychology, marketing, or product teams to improve user engagement and outcomes.

What are popular job titles related to Behavioral Data Science jobs in Florida?

For Behavioral Data Science jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Behavioral Data Science jobs in Florida look for?

The top searched job categories for Behavioral Data Science jobs in Florida are:

What cities in Florida are hiring for Behavioral Data Science jobs?

Cities in Florida with the most Behavioral Data Science job openings:

Infographic showing various Behavioral Data Science job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $85,535 per year, or $41.1 per hour.

Data Science & Analytics Technical Lead

Tampa, FL • On-site

Agile Defense
IT Services • 201 - 500 employees
Learn more about Agile Defenseexternal

Other

Re-posted 16 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
  • 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 (master's 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 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

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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