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Senior Data Visualization Jobs in Virginia (NOW HIRING)

The Senior Data Scientist must be prepared to dive deep into disparate data from multiple sources ... Demonstrated high proficiency in statistical analysis and data visualization. * Demonstrated high ...

Senior Data Scientist

Vienna, VA · On-site

$160K - $180K/yr

The Senior Data Scientist must be prepared to dive deep into disparate data from multiple sources ... Demonstrated high proficiency in statistical analysis and data visualization. * Demonstrated high ...

Senior Data Scientist

Vienna, VA · On-site

$160K - $180K/yr

The Senior Data Scientist must be prepared to dive deep into disparate data from multiple sources ... Demonstrated high proficiency in statistical analysis and data visualization. * Demonstrated high ...

Data Scientist - Senior

Springfield, VA · On-site

$130K - $150K/yr

We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts ... This role will leverage advanced analytics, automation, data modeling, visualization, and scripting ...

... the data visualization environment. The Senior Data Scientist will build analytics tools that ... utilize the data pipeline to provide actionable insights into customer acquisition, operational ...

Showing results 21-40

Senior Data Visualization information

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.

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.

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.

What are the most commonly searched types of Data Visualization jobs in Virginia?

The most popular types of Data Visualization jobs in Virginia are:

What job categories do people searching Senior Data Visualization jobs in Virginia look for?

The top searched job categories for Senior Data Visualization jobs in Virginia are:

What cities in Virginia are hiring for Senior Data Visualization jobs?

Cities in Virginia with the most Senior Data Visualization job openings:

Infographic showing various Senior Data Visualization job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 12% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Senior Data Scientist with Security Clearance

Chantilly, VA • On-site

Tecolote Research
Business Management Consulting • 501 - 1,000 employees

$130K - $160K/yr

Other

Re-posted 11 days ago


Job description

Overview The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is immediately available for qualified candidates with the appropriate clearance. Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following: * Programming languages such as Python(inclusive of libraries that are used in data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming language), or other programming languages. * The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop * The development and use of Visualizatin Tools to create interactive scientific graphing capabilities. These capabilities and experience can be a combination of tool familiarity exhibited with competency in Plotly, Tableau, PowerBI, Qlik, and/or Google Charts * Understanding of relevant statistical measures, development and evaluation of data sets. * Salary Range: $130,000 - $160,000/Year, DOE Skills Required The Senior Data Science Analyst shall apply the principles, theories and analytical methods of Data Science Analysis, which encompasses the following: * Tool and method development by using high-level modeling, machine learning techniques, and software languages * Hypothesis development and validation of budget and schedule sufficiency/achievability and risk parameters * Working with data visualization tools and creating data visualization concepts * Experience developing queries and reports, parsing and merging data from complex datasets * Establishing and integrating large datasets, data entry , data conditioning and cleaning, data mining and end-to-end database management * Developing customer-facing reporting tools to provide timely and accurate decision-support and information * Understanding of how data science enables cost estimating, IPM and cross program analysis for comprehensive, data driven methods and assessments. Education Bachelor's degree required, preferably in math, engineering, business, or the sciences.