1

Data Science Visualization Jobs in Pennsylvania (NOW HIRING)

... and data visualization methods to drive product and service development that lie at the ... S. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field * M.S ...

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 ...

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

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 ...

... the Visualization and Decision Support Division of Penn State ARL . In this role, you will architect and optimize data systems that empower our data scientists to efficiently research, train, and ...

AI Data Scientist Sr.

North East, PA · On-site

$120K - $160K/yr

... science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. Experience with natural ...

AI Data Scientist Sr.

North East, PA · On-site

$120K - $160K/yr

... science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. Experience with natural ...

Applies modern and emerging data science techniques to solve business problems across functions ... visualization tools like Tableau or Power BI * Bachelor's degree (B.E./B.Tech) in Analytics ...

next page

Showing results 1-20

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 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 Scientist

Data Scientist

PPG

Pittsburgh, PA • On-site, Remote

Full-time

Posted 9 days ago


Job description

PPG Digital Organization is accelerating enterprise-wide transformation by embedding advanced AI, machine learning, and data products across multiple domains, including formulation development (R&D), manufacturing, supply chain, commercial, and customer experience.

As a Data Scientist, and member of our PPG Digital Organization, you'll be contributing to specific business projects utilizing machine learning, computer vision, advanced statistical analysis, optimization, and data visualization methods to drive product and service development that lie at the intersection of both digital and physical sciences. You will make recommendations on the data and provide insights into seeking rapid solutions through agile teams / sprints.

Location: Pittsburgh, PA - will work a hybrid schedule onsite. Relocation will be provided.

Key Responsibilities

  • Devising and applying state-of-the-art machine learning techniques to solve business and scientific problems.
  • Evaluate AI/ML readiness and provide data acquisition recommendations to bridge gaps.
  • Visualize data to discover and communicate solutions and opportunities.
  • Contribute to the design and development of data science-powered applications and internal platforms.
  • Work with modern data ecosystems (cloud platforms, distributed data systems, and real-time pipelines).
  • Collaborate with external partners to bring groundbreaking results to PPG operations.
  • Work with global teams to translate innovative ideas into deployable digital products and services with quantifiable business impact.
  • Stay current on emerging technologies in AI/ML, software engineering, and applied data science.

Qualifications

  • B.S. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field
  • M.S. degree preferred in Data Science, Data Analytics, Machine Learning or equivalent
  • 5+ years of experience applying data science or analytics to real-world problems, 2+ years with a PhD.
  • Proficiency in Python
  • Experience with state-of-the-art deep learning frameworks such as TensorFlow, PyTorch, Keras or comparable technologies
  • Understanding of software development fundamentals:
    • Version control (Git)
    • Writing clean, modular, testable codeo
  • Basic API development (e.g., FastAPI, Flask)
  • Experience working with both structured and distributed data technologies ranging from SQL to Hadoop, Hive and Spark.
  • Experience working in Agile or product-oriented teams
  • Experience in delivering results at the intersection of machine learning, computer vision, engineering and material sciences
  • Preferred qualifications:
    • Experience or exposure to:
      • Generative AI / Large Language Models (LLMs)
      • Cloud platforms (Azure, AWS, or GCP)
      • Building data or ML applications (dashboards, web apps, or internal tools)
    • Familiarity with MLOps concepts (CI/CD, model deployment, monitoring)

#LI-PRT1

#LI-Hybrid


How we work: At PPG, we bring teams together to accelerate collaboration and career development, with in-person work Monday through Thursday and the opportunity to work remotely on Flexible Fridays. Schedules may vary by location.


About us: 

PPG: WE PROTECT AND BEAUTIFY THE WORLD™ 

Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit www.ppg.com and follow @PPG on X. 

The PPG Way 2030  

We are customer champions 

Proactive. Bold. Trustworthy. Everything we do starts with our customers. We listen, move fast and don’t stop until we solve their biggest challenges. When our customers win, we all grow. 

We act with purpose and speed 

Agile. Data-driven. Empowered. We take smart risks to stay ahead of the competition. We work proactively with agility, using quality data to develop solutions that create value.  

We are excellent operators 

Productive. Collaborative. Accountable. No matter our role, we identify problems, take ownership and always bring solutions. We are both proactive and responsive to drive continuous improvement and deliver results. We support our frontline, the faces of PPG to our customers.   

We compete to win 

Future-focused. Driven. Ambitious. We are passionate about growing our business and winning with our customers. We deliver results, embrace new technologies and leverage agility and speed as strengths. 

We are PPG proud 

Strong. United. Passionate. We work safely, act with integrity and value our diverse perspectives. We celebrate achievements and take pride in the positive impact we create together to protect and beautify the world. 

At PPG we use AI in the hiring process to make the process more efficient. AI tools do not make hiring decisions. You can learn more by going to  https://careers.ppg.com/us/en/candidate-resources.  

PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, veteran status, sexual orientation, gender identity or expression.  

If you need an adjustment due to a disability, please email recruiting@ppg.com. 

PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply.  
Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.  Benefits will be discussed with you by your recruiter during the hiring process. 

PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday.