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Data Science Visualization Jobs (NOW HIRING)

... science, visualization, and database work. • Expertise in: AI/ML modeling and statistical analysis • Expertise in: LLM usage and text analytics • Expertise in: Python for automation and data ...

Data Scientist

NE · On-site

Minimum 7+ years of combined experience in data science, visualization, and database work. * Expertise in: * AI/ML modeling and statistical analysis * LLM usage and text analytics * Python for ...

Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB ...

Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB ...

The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate student assistants) helps students and other researchers develop critical data science and visualization ...

Data Visualization Engineer

Monterey, CA · On-site

$126K - $152K/yr

Booz Allen Hamilton is a leading consulting firm that leverages data science to address global challenges. As a Data Visualization Engineer, you will utilize your expertise in data analysis and ...

Data Visualization Specialist

Herndon, VA · On-site

$104K - $166K/yr

D. in Computer Science, Cybersecurity, Data Science, Information Systems, Information Technology ... Data visualization, BI engineering, or analytics platform experience with at least 3 years leading ...

Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a ...

Data Visualization Specialist

Herndon, VA · On-site

$104K - $166K/yr

D. in Computer Science, Cybersecurity, Data Science, Information Systems, Information Technology ... Data visualization, BI engineering, or analytics platform experience with at least 3 years leading ...

Director, Data Science

Bella Vista, AR · On-site

$130K - $260K/yr

The position requires expertise in coding, data quality assessment, and visualization to translate ... The Data Science team leads advanced analytics and machine learning initiatives to deliver ...

The position requires expertise in coding, data quality assessment, and visualization to translate ... The Data Science team leads advanced analytics and machine learning initiatives to deliver ...

Director, Data Science

Goshen, AR · On-site

$130K - $260K/yr

The position requires expertise in coding, data quality assessment, and visualization to translate ... The Data Science team leads advanced analytics and machine learning initiatives to deliver ...

Director, Data Science

Fayetteville, AR · On-site

$130K - $260K/yr

The position requires expertise in coding, data quality assessment, and visualization to translate ... The Data Science team leads advanced analytics and machine learning initiatives to deliver ...

Director, Data Science

Greenland, AR · On-site

$130K - $260K/yr

The position requires expertise in coding, data quality assessment, and visualization to translate ... The Data Science team leads advanced analytics and machine learning initiatives to deliver ...

Director, Data Science

Cave Springs, AR · On-site

$130K - $260K/yr

The position requires expertise in coding, data quality assessment, and visualization to translate ... The Data Science team leads advanced analytics and machine learning initiatives to deliver ...

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Data Science Visualization information

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$54K

$109.5K

$161.5K

How much do data science visualization jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data science visualization in the United States is $109,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,000.00 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.

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.

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.
More about Data Science Visualization jobs
What cities are hiring for Data Science Visualization jobs? Cities with the most Data Science Visualization job openings:
What states have the most Data Science Visualization jobs? States with the most job openings for Data Science Visualization jobs include:
What job categories do people searching Data Science Visualization jobs look for? The top searched job categories for Data Science Visualization jobs are:
Infographic showing various Data Science Visualization job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $109,451 per year, or $52.6 per hour.
Data Scientist

Data Scientist

D&G Solutions

Bellevue, NE • On-site

Full-time

Posted 8 days ago


Job description

Job Summary:
D&G Solutions is a rapidly growing company committed to making a positive impact through their work. They are seeking a Data Scientist to support USSTRATCOM/J7 assessments by integrating data sources, applying predictive modeling, and producing analytic products to inform senior leaders' decision-making.
Responsibilities:
• Integrate, analyze, and evaluate diplomatic, informational, military, and economic data to assess progress toward strategic deterrence and operational objectives.
• Develop and refine measurement criteria (MOEs/MOPs), scoring standards, and defensible assessment logic for formal reporting.
• Build structured, secure, scalable data systems and develop automated monitoring pipelines for intelligence, OSINT, diplomatic, and after‑action data.
• Apply advanced statistical methods and machine‑learning models to identify patterns, forecast outcomes, and uncover new trends.
• Develop dashboards, visualization tools, GUIs, and connectors that enhance decision‑making and improve assessment workflows.
• Produce graduate‑level written analyses, executive briefings, and clear, actionable reports for senior leaders.
• Support operations, campaign, risk, and Joint Force assessments by synthesizing trends, evaluating OAI (operations, activities, investments), and identifying cost‑benefit impacts.
• Utilize AI/ML tools—including LLM text analytics—to augment analytic depth and accelerate assessment processes.
• Participate in boards, bureaus, centers, cells, and working groups as an analytic subject‑matter expert.
• Contribute to continuous improvement of assessment tools, models, and methodologies.
• Other duties assigned by Program Manager
Qualifications:
Required:
• Bachelor’s degree or higher in data science, computer science, statistics, applied mathematics, applied physics, or related discipline.
• Minimum 7+ years of combined experience in data science, visualization, and database work.
• Expertise in: AI/ML modeling and statistical analysis
• Expertise in: LLM usage and text analytics
• Expertise in: Python for automation and data processing
• Expertise in: SQL and relational schema design
• Expertise in: Visualization using Tableau/Power BI
• Expertise in: Integration with commercial AI/ML platforms (Maven Smart Systems, Databricks, AWS SageMaker)
• Familiarity with API/RSS data ingestion and Agile team collaboration.
• Active TS/SCI clearance required.
• This role is restricted to U.S. person(s) (U.S. citizens, permanent residents, and other protected individuals under 8 U.S.C. 1324b(a)(3)).
Company:
People-powered logistics & supply chain ingenuity for our Nation’s most critical missions. Bring us your Goliaths. Founded in 2007, the company is headquartered in Woodbridge, USA, with a team of 51-200 employees. The company is currently Growth Stage.