ZipRecruiter

Log In

1

Data Science Visualization Jobs in Pittsburgh, PA

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site

$111K - $133K/yr

Translate complex data science and analytics outputs into governed, reusable data products surfaced ... Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop ...

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Translate complex data science and analytics outputs into governed, reusable data products surfaced ... Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop ...

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site

$111K - $133K/yr

Translate complex data science and analytics outputs into governed, reusable data products surfaced ... Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop ...

previous pagenext page

Showing results 21-40

All JobsData Science Visualization JobsData Science Visualization Jobs in Pittsburgh, PA

Data Science Visualization information

See Pittsburgh, PA salary details

$52.4K

$106.3K

$156.8K

How much do data science visualization jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science visualization in Pittsburgh, PA is $106,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $119,400.00 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.

What are popular job titles related to Data Science Visualization jobs in Pittsburgh, PA?

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

What job categories do people searching Data Science Visualization jobs in Pittsburgh, PA look for?

The top searched job categories for Data Science Visualization jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Data Science Visualization jobs?

Cities near Pittsburgh, PA with the most Data Science Visualization job openings:

Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $106,256 per year, or $51.1 per hour.

Data Scientist Senior - People Analytics & Quantitative Insights

PNC

Pittsburgh, PA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Key responsibilities

  • Partner with business stakeholders to identify analytical opportunities and develop data-driven solutions.

  • Utilize statistical analysis, data modeling, and visualization techniques to design analyses and dashboards that relate HR metrics to business outcomes.

  • Manage multiple analytical initiatives, analyze large datasets, and communicate findings to both technical and non-technical audiences.

PNC Bank rating

7.8

Company rating: 7.8 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

89th of 175 rated banks

Job description


Job Profile
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Scientist Senior within PNC's Human Resources organization, you will be based in Pittsburgh, PA.
Responsibilities include, but are not limited to:
•Partner with business stakeholders to identify analytical opportunities, applying quantitative methods and statistical reasoning to interpret workforce data and develop data-driven solutions that inform strategic and operational decision making.
•Utilize statistical analysis, data modeling, and data visualization techniques to design and deliver analyses and dashboards that quantify relationships between HR metrics and business outcomes.
•Manage and prioritize multiple analytical initiatives, balancing complex data requests, evolving business needs, and competing deadlines in a fast-paced environment.
•Analyze large, complex datasets and model outputs using tools such as SAS, Python, or R, translating results into actionable insights and recommendations, and communicating findings effectively to both technical and non-technical audiences. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description
  • Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
  • Directs the data gathering, data processing and data mining of large and complex datasets.
  • Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
  • Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.
  • Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationMasters CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses.  Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace.  We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

What PNC Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply