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Data Science Visualization Jobs in Florida (NOW HIRING)

Data Scientist

Tampa, FL · On-site

$99K - $225K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining ...

The ideal candidate will have solid data science skills, a firm understanding of data analytics ... visualization tools (e.g., Tableau, Power BI). * Knowledge of data warehousing and data lake ...

This role sits at the intersection of regulatory data science, risk modeling, and federal program ... Expert-level proficiency in data visualization platforms (Power BI, Tableau, or MS Excel) with ...

Data Scientist III

Gainesville, FL · On-site

$82K - $85K/yr

Biology/Life Science, Computer Science, Grant or Research Administration Department: 29051308 - MD ... visualization tool. Provide needed support to end-users. • Maintain a slack channel ...

Job-Specific Minimum Requirements: - Bachelor's degree in Data Science, Computer Science ... exploration, visualization, and storytelling - Experience working with large, complex, and ...

Data Scientist

Winter Park, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Casselberry, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Ocoee, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

... science, machine learning, or advanced analytics roles * Proficiency in Python (e.g., pandas ... Data visualization skills (e.g., Tableau, Power BI , matplotlib, seaborn) #LI-NB5 #INMAY2026

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Data Science Visualization information

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.

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 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 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.

What cities in Florida are hiring for Data Science Visualization jobs? Cities in Florida with the most Data Science Visualization job openings:
Data Scientist I

Data Scientist I

Convey Health Solutions, Inc.

Fort Lauderdale, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Data Scientist l

Position Summary:

A Data Scientist l will be responsible for leveraging data to provide actionable insights, drive decision-making, and optimize healthcare and business outcomes. The role will use their strong background in data science, a passion for healthcare, and the ability to work in a cross-functional environment with product owners, data engineers, and business stakeholders.

Key Duties and Responsibilities:

Participate in all project phases from concept, requirements, development, test, and production support

  • Explore and understand new big data and analytic technologies that enable faster and more efficient system operations, ultimately delivering timely insights and models.
  • Ensure the security, confidentiality, and integrity of client information

Data Analysis & Modeling:

  • Create and refine predictive algorithms that support the suite of Star Quality product offerings as well as the overall client satisfaction initiatives for Pareto IntelligenceTM.Analyze large and complex healthcare datasets (e.g., clinical, operational, and patient data) to identify trends, patterns, and insights. Develop predictive models and advanced analytics to inform healthcare strategies and program decisions.

Machine Learning & AI:

  • Design, develop, and deploy machine learning algorithms and artificial intelligence solutions to improve insights, workflows, predictive diagnostics, outcomes, and operational efficiency.
  • Explore and understand new big data and analytic technologies that enable faster and more efficient system operations, ultimately delivering timely insights and models.

Data Integration & Cleaning:

  • Work with diverse healthcare data sources, including electronic health records (EHR), claims data, clinical trial data, and sensor data, ensuring data is clean, accurate, and well-prepared for analysis.

Collaboration with Cross-Functional Teams

  • Collaborate closely with healthcare professionals, product teams, engineers, and business stakeholders to define analytical goals, communicate insights, and implement data-driven solutions.
  • Participate in all project phases from concept, requirements, development, test, and production support

Visualization & Reporting:

  • Create clear, actionable reports and dashboards that communicate complex data findings to non-technical stakeholders, including clinicians, executives, and healthcare administrators.

Continuous Improvement:

  • Stay up-to-date with the latest advancements in data science, healthcare technology, and analytics tools. Contribute to the development of new methodologies and approaches for improving Star analytic capabilities and supporting client needs through data science.

Compliance & Security:

  • Ensure all data analyses and machine learning models maintain the integrity of client information and comply with healthcare regulations such as HIPAA, data privacy laws, and security best practices.

Education and Experience:

  • Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Epidemiology, Biomedical Engineering, or a related field.
  • Experience: 3+ years of experience in data science, with a focus on healthcare or life sciences (or equivalent academic/research experience). Strong experience with machine learning algorithms, statistical modeling, and data analytics tools. Familiarity with healthcare data sources and formats, including EHR/EMR systems, claims data, HEDIS data, survey-based data and prescription drug event data.
  • Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience working in JupyterHub environment and experience with data manipulation libraries (e.g., Pandas, NumPy,), machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and statistical analysis tools. Knowledge of data visualization tools such as Tableau, Power BI, or custom dashboards. Familiarity with cloud computing platforms (AWS, Google Cloud, Azure) is a plus.
  • Analytical & Problem-Solving Skills: Strong ability to work with design experiments, and develop complex models to solve healthcare-related challenges.Experience/exposure to big data technologies such as Hadoop, Spark, Docker, and Airflow preferred.
  • Communication Skills: Ability to present complex data and technical findings in a clear, concise, and actionable manner to both technical and non-technical audiences.
  • Healthcare Knowledge: A solid understanding of healthcare systems, clinical workflows, and healthcare industry regulations (HIPAA, HITRUST, etc.) is a plus.

Preferred Qualifications

  • Experience working with Medicare Advantage, Star Ratings, clinical decision support tools, healthcare prediction models, or patient outcome tracking systems.
  • Familiarity with Natural Language Processing (NLP) and text mining techniques for processing unstructured healthcare data.
  • Experience with healthcare reimbursement and claims data analysis.
  • Knowledge of health economics, epidemiology, or health policy.

Knowledge, Skills, and Abilities:

  • Complex Problem Solving - Ability to identify and solve problems by reviewing related information, evaluating options and implementing solutions.
  • Critical Thinking - Ability to use logic and reason to identify strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
  • Deductive Reasoning - Ability to apply general rules to specific problems to produce answers that make sense.
  • Inductive Reasoning - Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated information or events).
  • Quantitative and Analytical Skills - Ability to apply quantitative and statistical analysis techniques to unstructured problems.
  • Strong Communication Skills - Ability to communicate information and ideas orally and in writing clearly and concisely.
  • Positive, flexible, and self-motivated attitude, along with the ability to work as a collaborative team player.
  • Excellent attention to details, accuracy and follow up.
  • Ability to set priorities and work on multiple tasks simultaneously.
  • Excellent oral and written communication skills.

The expected base salary for this position ranges from $72,000-120,000 with a bonus target of up to 5% of the base salary. We do consider a wide range of factors when making offer decisions, including (but not limited to) the scope and responsibilities of the position, a candidate's relevant skills, training, experience, education and where applicable, licensure and certifications obtained. We also consider organizational and market factors when making offer decisions.


Equal Employment Opportunity Statement:
Convey Health Solutions is an Equal Opportunity Employer committed to fostering an inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local laws.
Convey Health Solutions also provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable laws. Applicants requiring accommodation during the application or interview process should contact the Human Resources department.


The Convey Health Solutions family of companies, including Pareto Intelligence, delivers a powerful combination of purpose-built technology, advanced analytics, and expert services to help health plans thrive in a complex, post, Affordable Care Act environment.
As a trusted partner to Medicare and commercial payers, we provide scalable, compliant solutions that span the entire member lifecycle, from enrollment and billing to risk adjustment, Stars performance, and member engagement. Pareto's deep analytics and financial intelligence complement Conveys' operational expertise, enabling our clients to improve performance, reduce costs, and create better healthcare experiences for millions of Americans, especially seniors and vulnerable populations.
Together, we help health plans scale smarter, grow stronger, and make healthcare work better for the people who need it most.
Learn more at www.ConveyHealthSolutions.com.