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Data Science Visualization Jobs in Maryland (NOW HIRING)

Axle

Data Scientist II

Rockville, MD

Data Science and Bioinformatics Expertise: Strong proficiency in Python and R for analysis, scripting, and visualization. Hands-on experience with at least two omics data types (e.g., bulk RNA-seq ...

Booz Allen Hamilton

Data Scientist

Edgewood, MD · On-site

$77K - $176K/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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Edgewood, MD · On-site

$77K - $176K/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 ...

HiLabs Inc.

Associate Principal Data Scientist

Bethesda, MD · On-site

$171 - $209/hr

Lead and oversee data science initiatives involving large and complex datasets to support business ... visualization software. * Direct the design, development, and implementation of machine learning ...

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Data Science Visualization information

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 Maryland?

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

What job categories do people searching Data Science Visualization jobs in Maryland look for?

The top searched job categories for Data Science Visualization jobs in Maryland are:

What cities in Maryland are hiring for Data Science Visualization jobs?

Cities in Maryland with the most Data Science Visualization job openings:

Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist, Level 4

Independent Software

Annapolis Junction, MD • On-site

Full-time

Re-posted 28 days ago

Job description

What You Will Do:
As a Data Scientist Level 4 with Independent Software, you will play a mission-critical role in applying advanced data science techniques to complex national security challenges. In this role, you will leverage your expertise in Python, workflow automation, data manipulation, and visualization—particularly within Jupyter Notebooks—to support data-driven decision making and operational efficiency.
You will work closely with mission teams to transform complex and often incomplete datasets into actionable intelligence. This includes developing analytical tools, generating meaningful insights, creating impactful visualizations, and optimizing data pipelines. You will also apply your background in SIGINT and experience with RF or PROFORMA data to enhance analytical capabilities and mission outcomes.
At Independent Software, you will work in a collaborative environment where innovation, technical excellence, and mission impact intersect, helping protect national security through advanced analytics and data science.
Key Responsibilities:
 

  • Apply expertise across multiple data science domains including mathematical, statistical, and computational foundations
  • Perform data curation, transformation, visualization, and automation of analytical workflows
  • Develop reproducible analytics and optimize inefficient processes and data pipelines
  • Analyze large, complex datasets and draw meaningful conclusions using mathematical, statistical, and domain expertise
  • Develop analytic models and quantitative techniques for unstructured or incomplete datasets
  • Perform statistical modeling, inference, forecasting, and predictive analytics
  • Translate mission and analytical requirements into technical data specifications
  • Develop tools and visualizations that clearly communicate analytical findings and support operational decision making
  • Effectively convey complex technical concepts and analytical results to both technical and non-technical stakeholders
  • Leverage experience with SIGINT datasets, RF data, or PROFORMA data to enhance mission analysis and capabilities

Required Skills and Qualifications:
 
  • Proficiency in Python and experience working within Jupyter Notebooks
  • Strong background in machine learning, statistical modeling, algorithm development, and AI/ML methodologies
  • Experience working with large datasets from multiple sources, including data cleaning, transformation, and analysis
  • Experience using Pandas DataFrames for data manipulation, aggregation, and analytical processing
  • Experience performing exploratory data analysis, hypothesis testing, and inference modeling
  • Familiarity with AI/ML frameworks, data mining techniques, and software engineering principles
  • Experience automating workflows and optimizing data pipelines for reproducible analytics
  • Experience working with SIGINT datasets, RF data, or PROFORMA data
  • Ability to apply advanced analytical methods to complex national security problems

Education and Experience:
 
  • Bachelor’s degree with 15 years of relevant experience, or
  • Associate’s degree with 17 years of relevant experience
Acceptable Degree Fields:
  • Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • Related fields such as Computer Information Systems, Engineering, or Physical Sciences with a strong computational focus
  • Other scientific disciplines may qualify if accompanied by 5 or more upper level courses in mathematics 300 level or higher and or computer science
  • Broader degrees may be accepted if supported by a Data Science Certificate from an accredited institution

Clearance Requirement:
 
  • Must possess an active TS SCI with appropriate Polygraph to be considered for this role

Why Choose Independent Software:
At Independent Software, our people are the mission. We’ve built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive.
When you join us, you will:
  • Support critical national security missions that matter
  • Be part of a close-knit, employee-first culture where your voice is heard
  • Expand your skills through ongoing training, mentorship, and career development
  • Enjoy competitive compensation, generous benefits, and work-life balance


Ready to take the next step in your career? Join us and be part of something bigger.
Apply today.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 

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