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Senior Data Visualization Jobs in Baltimore, MD (NOW HIRING)

Eastport Analytics Inc

Senior Data Scientist

Annapolis, MD · On-site

$118K - $140K/yr

As a Senior Data Scientist at Eastport Analytics, you will utilize advanced expertise in SQL and ... Convey complex technical findings to non-technical domain users through advanced data visualization ...

Peraton

Senior Data Scientist

Fort George G Meade, MD

$146K - $234K/yr

Responsibilities Peraton seeks a Senior Data Scientist to support Department of War Cyber Defense ... Experience with data visualization and reporting * Knowledge of cyber defense operations preferred

Peraton

Senior Data Scientist

Fort George G Meade, MD · On-site

$146K - $234K/yr

Responsibilities Peraton seeks a Senior Data Scientist to support Department of War Cyber Defense ... Experience with data visualization and reporting * Knowledge of cyber defense operations preferred

Peraton

Senior Data Scientist

Fort George G Meade, MD

$146K - $234K/yr

Responsibilities Peraton seeks a Senior Data Scientist to support Department of War Cyber Defense ... Experience with data visualization and reporting * Knowledge of cyber defense operations preferred

Parsons

Senior Data Scientist

Aberdeen, MD

The Senior Data Scientist will focus on software coding, data interoperability, cloud technology ... Experience with visualization and BI tools (e.g., Grafana, Kibana, Power BI, Tableau, or similar ...

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How much do senior data visualization jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for senior data visualization in Baltimore, MD is $56.45, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $66.88 per hour, depending on experience, location, and employer.

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

AspectSenior Data VisualizationData Analyst
Required SkillsAdvanced data visualization tools, storytelling, designData manipulation, basic visualization, statistical analysis
Work EnvironmentDesign-focused, cross-functional teamsData-focused, business intelligence teams
CertificationsData visualization tools (Tableau, Power BI)Excel, SQL, basic analytics certifications

Senior Data Visualization roles focus on creating compelling visual stories from complex data, often requiring advanced design and storytelling skills. Data Analysts perform broader data analysis, including data cleaning, statistical analysis, and reporting. While both roles work with data, Senior Data Visualization emphasizes visual communication, whereas Data Analysts focus on data interpretation and insights.

Is data visualization in high demand?

Data visualization is in high demand across industries as organizations seek to interpret large data sets effectively. Senior data visualization professionals with skills in tools like Tableau, Power BI, or D3.js are increasingly sought after to support data-driven decision making.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It offers opportunities across industries, often requiring strong analytical skills and knowledge of data tools, with demand expected to grow as organizations rely more on data-driven decision making.

What is a Senior Data Visualization specialist?

A Senior Data Visualization specialist is an experienced professional who designs, builds, and manages advanced visual representations of data to help organizations make informed decisions. They work with complex datasets, use tools like Tableau, Power BI, or D3.js, and collaborate with data analysts, engineers, and business stakeholders. Their responsibilities often include translating data insights into clear dashboards, interactive reports, and visual stories that communicate trends, patterns, and actionable intelligence. In addition to technical skills, they often mentor junior team members and contribute to setting best practices in visualization and data storytelling.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data visualization professional or entering data science. Many individuals successfully transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data tools, often through online courses or certifications. Experience, continuous learning, and a strong portfolio are more important than age in this field.

What are some common challenges faced by Senior Data Visualization professionals when collaborating with non-technical stakeholders?

Senior Data Visualization professionals often encounter challenges when translating complex data insights into visuals that are easily understood by non-technical stakeholders. It’s crucial to balance accuracy and clarity, ensuring that visuals tell a compelling story without overwhelming the audience with technical jargon. Effective communication and active listening are key, as is iterating on visual prototypes based on stakeholder feedback. Building strong relationships with cross-functional teams helps ensure that the final product meets both business objectives and user needs.

What are the key skills and qualifications needed to thrive as a Senior Data Visualization specialist, and why are they important?

To excel as a Senior Data Visualization specialist, you need expertise in data analysis, design principles, and proficiency with data visualization concepts, usually backed by a degree in data science, statistics, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and programming languages such as Python or R is commonly required. Strong communication, storytelling ability, and attention to detail are crucial soft skills for conveying complex data insights to diverse audiences. These competencies ensure that data-driven findings are accessible, actionable, and valuable to stakeholders across the organization.

Will AI replace data analyst?

AI tools can automate routine data processing and visualization tasks, but senior data visualization professionals are essential for interpreting complex data, designing effective visualizations, and providing strategic insights. AI complements these roles by enhancing efficiency, but human expertise remains critical for nuanced analysis and decision-making. Skills in data storytelling and proficiency with visualization software like Tableau or Power BI are valuable in this evolving environment.
What are the most commonly searched types of Data Visualization jobs in Baltimore, MD? The most popular types of Data Visualization jobs in Baltimore, MD are:
What are popular job titles related to Senior Data Visualization jobs in Baltimore, MD? For Senior Data Visualization jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Senior Data Visualization jobs in Baltimore, MD look for? The top searched job categories for Senior Data Visualization jobs in Baltimore, MD are:
Senior Data Visualization jobs near you
Infographic showing various Senior Data Visualization job openings in Baltimore, MD as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 8% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $117,419 per year, or $56.5 per hour.

Senior Data Scientist

Ascension Federal Services Inc.

Fort George G Meade, MD • On-site

Full-time

Posted 2 days ago

Job description

Senior Data ScientistLocation: Fort Meade, MD, 20701
CLEARANCE: TS/SCI W/ FULL SCOPE POLYGRAPH (Will sponsor if active TS or above)
Job Description:

We are seeking a highly skilled Senior Data Scientist to join our team in Fort Meade, MD. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to complex business problems.

Responsibilities:
  • Lead the design and implementation of data science projects
  • Develop predictive models and algorithms to drive business decisions
  • Analyze large datasets to uncover insights and trends
  • Collaborate with cross-functional teams to identify opportunities for data-driven solutions
  • Communicate findings and recommendations to stakeholders
Requirements:
  • Bachelor's or Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field
  • 10+ years of experience in data science or related field
  • Proficiency in programming languages such as Python, R, or Java
  • Data visualization tools (e.g., Power BI, Tableau)
  • Experience with machine learning, statistical analysis, and data mining techniques.
  • Developing AI/ML tools for operational use
  • Experience with machine learning techniques and algorithms
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities

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