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Data Science Visualization Jobs (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

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

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

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

NCSU

Data Science Librarian

Raleigh, NC · On-site

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 ...

Peraton

Data Visualization Specialist

Herndon, VA

$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 ...

Booz Allen Hamilton

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 ...

1 point system

Data Science Engineer

Century City, CA · On-site

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

Peraton

Data Visualization Specialist

Herndon, VA

$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 ...

Guidehouse

Data Visualization Expert

Springfield, VA · On-site

Data Science Consulting Travel Required: None Clearance Required: Active Top Secret SCI (TS/SCI) What You Will Do: The Data Visualization Expert is responsible for transforming complex, disparate ...

Guidehouse

Data Visualization Expert

Springfield, VA · On-site

Data Science Consulting Travel Required: None Clearance Required: Active Top Secret SCI (TS/SCI) What You Will Do: The Data Visualization Expert is responsible for transforming complex, disparate ...

Peraton

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 ...

Booz Allen Hamilton

Data Visualization Engineer

$117K - $140K/yr

In this role, you will leverage your data science expertise to assist clients in making informed ... with Data visualization, such as creating charts with basic design principles • 5+ years of ...

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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 Jun 12, 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:
Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 68% Physical, 5% Hybrid, and 27% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • On-site

Full-time

Posted 21 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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