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Data Science Visualization Jobs in Charlotte, NC

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience with statistical modeling, machine learning, and data visualization. What Would Be Nice ...

... science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib and/or Seaborn • Strong capabilities in SQL and experience working with SQL query engines • Experience with Data Visualization ...

... science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib and/or Seaborn Strong capabilities in SQL and experience working with SQL query engines Experience with Data Visualization tools ...

... science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib and/or Seaborn Strong capabilities in SQL and experience working with SQL query engines Experience with Data Visualization tools ...

... science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib and/or Seaborn * Strong capabilities in SQL and experience working with SQL query engines * Experience with Data Visualization ...

... data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide ...

Utilize AWS analytics services such as Athena, Redshift, QuickSight, and EMR for advanced reporting and visualization. * Work with stakeholders to translate business objectives into data science ...

Data Scientist under general supervision will perform data engineering, data modeling and model ... visualization tools. Experience writing code in Python, R, Scala, and distributed computing ...

Decision Scientist II

Charlotte, NC · On-site

$110 - $150/hr

... to applied data science tools (R, Python, SAS, Snowflake), familiarity with data visualization and BI tools (Tableau, Power BI), and demonstrated proficiency in Microsoft Office Suite (Excel ...

New

... to applied data science tools (R, Python, SAS, Snowflake), familiarity with data visualization and BI tools (Tableau, Power BI), and demonstrated proficiency in Microsoft Office Suite (Excel ...

... to applied data science tools (R, Python, SAS, Snowflake), familiarity with data visualization and BI tools (Tableau, Power BI), and demonstrated proficiency in Microsoft Office Suite (Excel ...

AI / ML Data Analyst

Charlotte, NC · On-site

$40.70 - $50.70/hr

... visualization tools,Generative AI,Data Engineering,Information Systems,Computer Science,Large Language Models,LLMs,Machine Learning,Machine Learning concepts,Azure,Microsoft Copilot,Power BI,prompt ...

... data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide ...

Showing results 21-40

Data Science Visualization information

See Charlotte, NC salary details

$52.7K

$106.9K

$157.7K

How much do data science visualization jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science visualization in Charlotte, NC is $106,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $120,100.00 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.

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 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.

What are popular job titles related to Data Science Visualization jobs in Charlotte, NC?

For Data Science Visualization jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Data Science Visualization jobs in Charlotte, NC look for?

The top searched job categories for Data Science Visualization jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Data Science Visualization jobs?

Cities near Charlotte, NC with the most Data Science Visualization job openings:

Epidemiologist Data Scientist

Guidehouse

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants


Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Lead quantitative analysis and modeling of real-world data, including CMS, commercial claims, and clinical health data, to generate actionable insights for federal public health.

  • Lead analyses to estimate chronic disease population-level prevalence and incidence leveraging real-world data.

  • Design, implement, and refine machine learning and statistical models (e.g., regression, clustering, causal inference) for surveillance and research purposes.

  • Develop and maintain data pipelines and dashboards for large-scale health datasets using R, Python, and SQL.

  • Utilize DataBricks and Snowflake for scalable data processing and analytics.

  • Collaborate with epidemiologists, clinicians, and public health experts to interpret findings and inform CDC policy and strategy.

  • Prepare scientific reports, presentations, and publications for both technical and non-technical audiences.

  • Ensure data quality, documentation, and reproducibility across all analytic workflows.

  • Support onboarding and training of new team members as needed.


What You Will Need:

  • Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Masters degree in Data Science, Epidemiology, Public Health, Biostatistics, or STEM related field.

  • TWO (2) or more years material experience in health data science and epidemiology, including deep experience analyzing real-world data (RWD), including surveillance, commercial claims data, clinical data, or other large health datasets to generate epidemiological population-level estimates.

  • Experience in R, Python (including libraries such as Pandas, NumPy, Scikit-learn), and SQL, including large data set manipulation.

  • Experience in biostatistics and using statistical platforms - specifically SAS; ideal experience in SAS to R conversions - and conducting epidemiological analyses

  • Experience in geospatial analyses using QGIS, ArcGIS, etc.

  • Experience with statistical modeling, machine learning, and data visualization.


What Would Be Nice To Have:

  • Experience with generative AI, NLP, or advanced analytics in healthcare settings.

  • Strong background in population-level public health, with experience in scientific writing and presentation.

  • Excellent communication and collaboration skills.

  • Ability to work in a fast-paced environment independently to produce high-quality deliverables on-time

  • Prior experience conducting real-world evidence (RWE) studies

  • Familiarity with public health surveillance systems, local/state/federal health programs, or similar public sector environments.

  • Experience in disease surveillance

  • Experience with DataBricks, Snowflake, and/or Palantir Foundry.

  • Prior publication history in peer-reviewed journals

  • Prior work in consulting and working with multi-disciplinary teams and stakeholder engagement.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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