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Data Science Visualization Jobs (NOW HIRING)

Aircall.io, Inc.

Data Scientist, Visualization

New York, NY · On-site

$140K - $180K/yr

This is a specialist role on our Data Science team. You'll sit alongside data scientists working on ... Strong visualization skills to build stories and insights from raw data in a clear and concise ...

Aircall.io, Inc.

Data Scientist, Visualization

New York, NY · On-site +1

$140K - $180K/yr

This is a specialist role on our Data Science team. You'll sit alongside data scientists working on ... Strong visualization skills to build stories and insights from raw data in a clear and concise ...

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 ...

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 ...

Find Data Science

Data Scientist

San Francisco, CA

Stay updated on industry trends and best practices regarding data science methodologies and ... Experience with data visualization tools (e.g., Tableau, Power BI) and SQL. * Solid understanding ...

Curaleaf

Data Visualization Engineer

Stamford, CT

Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, or a related field, or equivalent practical experience * Hands-on experience with modern BI and visualization ...

New

NCSU

Data Science Librarian

Raleigh, NC

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 ...

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 ...

Curaleaf

Data Visualization Engineer

Stamford, CT · On-site

$91K - $101K/yr

Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, or a related field, or equivalent practical experience * Hands-on experience with modern BI and visualization ...

Varsity Tutors

Data Science Tutor

Pearland, TX · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Varsity Tutors

Data Science Tutor

AL · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Varsity Tutors

Data Science Tutor

Fairfax, VA · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

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All JobsData Science Visualization Jobs

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 Sep 1, 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.

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.

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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.

Data Scientist - Visualization (Power BI)

New York, NY • On-site

Conch Technologies Inc
IT Services • 51 - 200 employees
Learn more about Conch Technologies Incexternal

Contractor

Re-posted 2 days ago

Job description

 
Job Title: Data Scientist – Visualization (Power BI)

Location: Remote (Must be able to work EST hours)
Employment Type: 6+ Months
Interview Process: Immediate interviews available

Job Summary

We are seeking an experienced Data Scientist – Visualization with strong expertise in Power BI to join a growing analytics and data science team. The ideal candidate will have a proven background in data science, advanced analytics, machine learning, data visualization, and scalable data pipeline development. This role requires a combination of technical expertise, business acumen, and the ability to transform complex data into actionable insights for both technical and non-technical stakeholders.

Power BI expertise is required. Experience with Power Apps is a plus.

Key Responsibilities
  • Design, build, and maintain scalable and reusable data pipelines that integrate structured, unstructured, geospatial, LiDAR, and real-time data from multiple sources.
  • Develop and deploy advanced analytical, statistical, and predictive models including machine learning, time-series forecasting, causal inference, and geospatial analytics.
  • Create and operationalize interactive dashboards, visualizations, and analytical interfaces using Power BI and other visualization platforms.
  • Translate complex analytical findings into meaningful business insights and recommendations.
  • Lead the development of innovative data-driven products and solutions by collaborating with business stakeholders and technical teams.
  • Perform exploratory data analysis, feature engineering, model development, validation, deployment, and monitoring.
  • Build and optimize data transformation workflows supporting digital delivery and operational programs.
  • Establish and promote best practices in data science, analytics, visualization, model governance, and responsible AI.
  • Drive knowledge sharing and technical leadership across teams and business units.
  • Collaborate with clients and internal stakeholders to define requirements, scope projects, and deliver impactful analytical solutions.
Required QualificationsEducation
  • Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Geography, or a related quantitative field with 5+ years of experience; OR
  • Bachelor’s degree with 10+ years of relevant experience.
Experience
  • 10+ years of hands-on experience in data science, analytics engineering, machine learning, and advanced analytics.
  • 5+ years of client-facing consulting or solution delivery experience.
  • Proven experience delivering analytics solutions from concept through production deployment.
Technical Skills
  • Strong expertise in Power BI for dashboard development, visualization, reporting, and data storytelling.
  • Experience with Power Apps is preferred.
  • Advanced Python programming experience using Pandas, NumPy, SciPy, Polars, and related libraries.
  • Strong SQL and data modeling expertise.
  • Experience with R programming.
  • Deep knowledge of machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, and Statsmodels.
  • Experience with time-series forecasting, predictive analytics, feature engineering, and statistical modeling.
  • Strong geospatial analytics experience using ArcGIS, GeoPandas, PostGIS, GDAL/OGR, PDAL, or similar technologies.
  • Experience building and deploying solutions on Azure, AWS, or GCP.
  • Knowledge of MLOps practices including CI/CD, containerization, model monitoring, experiment tracking, and deployment automation.
  • Experience with Tableau, Plotly/Dash, or other visualization platforms is a plus.
Preferred Qualifications
  • Experience within transportation, aviation, construction, engineering, infrastructure, or facilities operations.
  • Exposure to BIM, VDC, digital twins, IoT, telemetry, or operational technology systems.
  • Experience working with LiDAR, imagery, sensor data, and geospatial datasets.
  • Familiarity with foundation models, multimodal AI, and advanced analytics applications.
  • Experience with product incubation, innovation initiatives, or startup methodologies.
  • Strong understanding of responsible AI, model explainability, governance, and regulatory compliance.
Key Competencies
  • Exceptional analytical and problem-solving abilities.
  • Strong communication and presentation skills.
  • Ability to explain complex technical concepts to business stakeholders.
  • Leadership mindset with experience mentoring teams and driving best practices.
  • Self-starter capable of working independently in a fast-paced environment.