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Behavioral Data Science Jobs in Florida (NOW HIRING)

Lorven Technologies

Data Scientist

Tampa, FL · On-site

... data science culture * Communicate model insights and forecast accuracy - to senior stakeholders through dashboards, executive briefings, and written reports - making complex model behaviour ...

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

... data science culture * Communicate model insights and forecast accuracy -- to senior stakeholders through dashboards, executive briefings, and written reports -- making complex model behaviour ...

Raymondjames

Data Scientist

Saint Petersburg, FL · On-site

$137K/yr

Write Python modules to automate Data Science tasks. Review Python code of junior colleagues ... At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver ...

Core One

Data Scientist

Tampa, FL · On-site

... and behavioral analysis in support of operational and programmatic requirements. • Lead and support data science efforts across the full ML lifecycle, including data collection, preprocessing ...

Core One

Data Scientist

Tampa, FL · On-site

... and behavioral analysis in support of operational and programmatic requirements. * Lead and support data science efforts across the full ML lifecycle, including data collection, preprocessing ...

Core One

Data Scientist

Tampa, FL · On-site

... and behavioral analysis in support of operational and programmatic requirements. * Lead and support data science efforts across the full ML lifecycle, including data collection, preprocessing ...

Thurn Partners

Alternative Data Scientist

Miami, FL · On-site +1

Evaluate and analyse a wide range of alternative datasets (transactional, behavioural, geospatial ... a data science or research role within a hedge fund, market maker, or investment bank

Gartner

Data Scientist

Fort Myers, FL · Remote

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients ... behavior modeling Who you are * A team player. You get along well with your colleagues and are ...

Gartner

Data Scientist

Fort Myers, FL · Remote

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients ... User behavior modeling Who you are A team player. You get along well with your colleagues and are ...

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How much do behavioral data science jobs pay per year?

As of Jun 12, 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.

Is behavioral science a good career?

Behavioral Data Science is a growing field that combines psychology, data analysis, and statistical skills to understand human behavior. It offers opportunities in research, consulting, and technology sectors, often requiring proficiency in programming tools like Python or R. The career can be rewarding for those interested in applying scientific methods to real-world problems and typically involves continuous learning and interdisciplinary collaboration.

What careers use behavioral science?

Behavioral science is used in careers such as behavioral data scientist, marketing analyst, user experience researcher, and policy advisor. These roles involve applying psychological and behavioral principles to understand and influence human behavior, often utilizing data analysis tools and research methods. Professionals in these fields work across industries like technology, healthcare, finance, and government to improve products, services, and policies.

What is a Behavioral Data Science job?

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 is a behavioral data scientist?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They often use statistical tools, machine learning, and behavioral theories to interpret data from sources like surveys, digital interactions, or experiments, supporting organizations in understanding user actions and improving products or services.

What can you do with a behavioural science degree?

A behavioral data science degree prepares individuals for roles analyzing human behavior using data analysis, statistical tools, and programming languages like Python or R. Graduates can work as data analysts, behavioral scientists, user experience researchers, or in roles that require understanding consumer behavior and decision-making processes in various industries.

What are the key skills and qualifications needed to thrive in the Behavioral Data Science position, 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.

What are the most commonly searched types of Behavioral Data Science jobs in Florida? The most popular types of Behavioral Data Science jobs in Florida are:
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:
Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,535 per year, or $41.1 per hour.

Data Scientist, Revenue Management Systems

Norwegian Cruise Line Holdings Ltd

Miami, FL • On-site

Full-time

Posted 4 days ago

Job description

GROW YOUR CAREER WITH US
At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we're continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family!
APPLY ONLINE
If you're interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.
JOB SUMMARY
The Data Scientist within Revenue Management Systems will be responsible for building, scaling, and validating the predictive models, forecasting logic, and advanced analytics frameworks that power Norwegian Cruise Line's dynamic pricing and inventory management decisions. This individual contributor role bridges statistical engineering with commercial operations-translating massive datasets, historical transaction curves, and high-intent guest behavioral data into clear, high-yield revenue recommendations.
Working closely with senior leadership, data engineers, and revenue managers, the Data Scientist will write production-grade SQL and Python code to design scalable forecasting algorithms and price elasticity frameworks. The ideal candidate thrives on extracting value from complex database environments (e.g., Snowflake) and converting technical model performance into clear business insights.
POSITION RESPONSIBILITIES
  • Predictive Model Construction: Design, write, and maintain scalable algorithms and machine learning models for booking curves, price elasticity, cancellation rates, and passenger cabin upgrades (e.g., Plusgrade).
  • Data Pipeline & ETL Engineering: Query, clean, aggregate, and manipulate large-scale datasets from disparate corporate ecosystems using Snowflake, SQL, and Python to ensure reliable inputs for quantitative modeling.
  • RMS Calibration & Evaluation: Monitor, fine-tune, and analyze baseline calibration thresholds within enterprise Revenue Management Systems (RMS) to reduce forecast variances and automate routine algorithmic workflows.
  • A/B Testing & Attribution: Formulate rigorous tracking and measurement frameworks, using statistical methodologies and panel data techniques to validate the exact revenue impacts of tactical promotions and digital pricing optimizations.
  • Business Intelligence Support: Architect, deploy, and maintain insightful data visualization dashboards in Power BI or Tableau to translate modeling results and performance metrics into clear stories for commercial stakeholders.
  • Cross-Functional Collaboration: Partner closely with IT and data engineering teams to operationalize prototypes into robust production systems, while communicating quantitative logic clearly to non-technical business partners.

QUALIFICATIONS
DEGREE TYPE:
Bachelor's Degree
FIELD(S) OF STUDY:
Business Administration, Hospitality Management, Finance, Marketing, or a related field
EXPERIENCE
  • Bachelor's degree in Data Science, Statistics, Mathematics, Operations Research, Economics, Computer Science, or a heavily quantitative discipline is required.
  • Master's degree (MS) in a quantitative field is a plus but not required with equivalent professional experience.
  • 2-5 years of progressive professional experience working as a data scientist, quantitative analyst, or modeler-ideally building systems that influence business pricing, sales, or financial forecasting.
  • Hands-on experience manipulating, structuring, and scrubbing large, raw datasets within enterprise cloud-based or local architectures.
  • Prior experience working in dynamic commercial fields with highly perishable inventory (e.g., cruise lines, aviation, hospitality, logistics, or consumer tech) is highly preferred.

COMPETENCIES & SKILLS
  • Advanced Querying & Coding: Strong mastery of programming languages required for statistical computing, data architecture, and ETL execution, specifically Python and advanced SQL.
  • Cloud Environments: Hands-on familiarity extracting and joining complex relational data within cloud data platforms like Snowflake, Databricks, or cloud equivalents.
  • Data Visualization: Demonstrated capability building, hosting, and automating reports or data visualization dashboards in Power BI or Tableau.
  • Statistical & ML Frameworks: Knowledge of regression analysis, time-series forecasting ARIMA/Prophet, optimization algorithms, and common machine learning packages (scikit-learn, XGBoost, etc.).
  • Analytical Curiosity: A natural drive to unearth trends in chaotic, complex transaction data and translate those findings into logical business mechanics.
  • Execution & Delivery: Strong time management skills with a proven capacity to take an abstract business request and run with it from exploratory data analysis to model testing and dashboard delivery.
  • Collaborative Communicator: Ability to speak comfortably with both database administrators and non-technical business leaders, ensuring complex modeling results are easily understood.

ABOUT NCLH
Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Line®, Oceania Cruises® and Regent Seven Seas Cruises® brands. The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year.
LEARN MORE ABOUT OUR COMPANY:
At a Glance
Brand Overview
Norwegian Cruise Line
Oceania Cruises
Regent Seven Seas Cruises
New Releases
EQUAL OPPORTUNITY EMPLOYER
It is Norwegian Cruise Line Holding's policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

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