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Data Science Visualization Jobs in Orlando, FL (NOW HIRING)

Kalera

Data Warehouse Engineer

Orlando, FL · On-site

Bachelor's degree in Computer Science, Computer Engineering or relevant field. * At least five ... Comprehensive grasp of data visualization methods and data modeling for effective database ...

DPR Construction

PCA Data Engineer

Orlando, FL

$106K - $128K/yr

Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or ... sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great ...

DPR Construction

Data Engineering Lead- Finance

Orlando, FL

$106K - $128K/yr

Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or ... sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great ...

Office of Clerk Circuit Court

IT Intern

Kissimmee, FL · On-site

$22/hr

Course of study in Information Technology, Computer Science, Data Science, Statistics, or a closely ... Programming, data visualization, or automation experience is a plus. PHYSICAL REQUIREMENTS

Varsity Tutors

Linear Algebra Tutor

Orlando, FL · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

BNY

Vice President, Full-Stack Engineer

Lake Mary, FL

$80K/yr

Develop and maintain data visualization dashboards and ensure responsive, cross-browser compatible ... Bachelor's degree in computer science engineering or related discipline, or equivalent work ...

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Showing results 21-40

All JobsData Science Visualization JobsData Science Visualization Jobs in Orlando, FL

Data Science Visualization information

See Orlando, FL salary details

$50.4K

$102.2K

$150.8K

How much do data science visualization jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science visualization in Orlando, FL is $102,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $114,800.00 per year, depending on experience, location, and employer.

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a data science visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Orlando, FL? For Data Science Visualization jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Orlando, FL look for? The top searched job categories for Data Science Visualization jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Data Science Visualization jobs? Cities near Orlando, FL with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,174 per year, or $49.1 per hour.

Manager of Customer Analytics & Strategy - Orlando Based

Red Lobster

Orlando, FL • On-site

Full-time

Re-posted 24 days ago

Red Lobster rating

5.9

Company rating: 5.9 out of 10

Based on 261 frontline employees who took The Breakroom Quiz

45th of 88 rated restaurants

Job description

Overview
***Must live in Orlando and be in office 4 days a week***
We are seeking a highly analytical and strategic Manager of Customer Analytics & Strategy to lead data-driven initiatives that enhance customer engagement, optimize marketing performance, and drive business growth. This role requires deep expertise in customer segmentation, CRM analytics, media reporting, loyalty programs, and promotional effectiveness, as well as a strong command of SQL, data visualization tools, and statistical modeling techniques.
Key Responsibilities:
  • Lead the development and execution of customer analytics strategies to support CRM, loyalty, and omnichannel marketing efforts
  • Extract and analyze large customer datasets using SQL to uncover actionable insights that improve targeting and personalization
  • Build and maintain attribution models, forecasting tools, weekly reports, and performance dashboards for digital channels using Tableau, Power BI, and other platforms
  • Develop and refine customer segmentation models using first- and third-party data to inform lifecycle marketing strategies
  • Implement structured testing frameworks to validate hypotheses, improve conversion rates, and guide promotional planning
  • Partner with media team to ensure consistent tagging, UTM structure, and clean campaign metadata/taxonomy
  • Define and evaluate seasonal and promotional audiences for deployment across email, SMS, and paid media channels
  • Leverage redemption analytics to improve offer efficiency and align incentives with customer behavior
  • Translate complex analytical findings into clear, compelling insights and recommendations for non-technical stakeholders
  • Partner cross-functionally with IT, Marketing, third-party vendors and senior leadership to ensure data quality, ETL process efficiency, and analytical alignment

Qualifications:
  • Bachelor's degree in Economics, Statistics, Mathematics, or related field
  • 6-10 years of experience in customer analytics, data science, or marketing analytics roles
  • Experience with digital media measurement, attribution, or cross-channel reporting
  • Proficiency in SQL, R, Tableau, Adobe Analytics, and Snowflake; familiarity with Python and data modeling a plus
  • Demonstrated ability to connect data insights into business strategy and measurable outcomes
  • Experience working with loyalty programs, CRM platforms, and promotional optimization
  • Strong communication and presentation skills with proven stakeholder engagement

Preferred Attributes:
  • Experience in retail, QSR, or consumer-facing industries
  • Demonstrated leadership in developing customer strategies that scale personalization and drive incremental revenue
  • Ability to balance technical depth with strategic thinking in a fast-paced environment

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