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Data Science Visualization Jobs in Pennsylvania (NOW HIRING)

Winaxis

Data Visualization Lead

Philadelphia, PA · On-site

... scientists, engineers, product managers) to gather requirements and create effective visual ... data visualization to drive team innovation. - Utilize strong UI/UX skills to deliver compelling ...

Merck & Co.

$129K - $203K/yr

Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data Visualization, Environmental Toxicology, Foundation Engineering, Large Language Models (LLMs ...

Penske

Data Scientist

Reading, PA

Stay current on data science, analytics, automation, transportation, logistics, fleet planning, and ... Experience with ELT Processes, data visualization and reporting tools, including Power BI or ...

Penske

Data Scientist

Reading, PA · On-site

Qualifications Qualifications: • Bachelor's degree in Data science, Statistics, Mathematics ... visualization and reporting tools, including Power BI or similar platforms, required. • ...

Penske

Data Scientist

Reading, PA

Stay current on data science, analytics, automation, transportation, logistics, fleet planning, and ... Experience with ELT Processes, data visualization and reporting tools, including Power BI or ...

Eastern University

Adjunct Faculty- Data Science

PA · On-site +1

Data visualization * Data manipulation Qualifications Preferred applicants will have a M.S. or Ph.D. in Computer Science, Mathematics, Data Science, Business Analytics, or related field, and ...

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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.

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.

What are popular job titles related to Data Science Visualization jobs in Pennsylvania?

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

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

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

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

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

Data Science Visualization jobs near you

Data Visualization Lead

Winaxis

Philadelphia, PA • On-site

Contractor

Re-posted 27 days ago

Job description

Job Summary – Data Visualization Lead
- Design and develop advanced, interactive data visualizations using React, Deck.gl, and related technologies.
- Lead and mentor a small team of visualization engineers, providing technical guidance and conducting code reviews.
- Collaborate with cross-functional teams (data scientists, engineers, product managers) to gather requirements and create effective visual storytelling solutions.
- Optimize rendering performance for large, complex geospatial and temporal datasets.
- Ensure accessibility and responsiveness of visualizations across various devices and platforms.
- Maintain a scalable and maintainable codebase using best practices in testing, performance, and code structure.
- Stay updated on emerging trends and technologies in data visualization to drive team innovation.
- Utilize strong UI/UX skills to deliver compelling and intuitive user experiences.
- Required Skills: Proficiency in React.js, Deck.gl, JavaScript, HTML/CSS, SQL; experience leading engineering projects/teams; experience with large datasets and APIs; familiarity with geospatial data formats.
- Preferred Skills: Experience with Carto, JSON, API integration, CI/CD, Java, GIS/urban data, state management, design systems (Figma/Storybook), and agile environments.