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Data Science Visualization Jobs in Rolling Meadows, IL

AbbVie

Data Scientist II

North Chicago, IL · On-site

Hands-on experience in data science and data analytics. * Demonstrated experience in prompt ... Experience with Tableau and Power BI visualization tools. Additional Information Applicable only to ...

UL Solutions

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

... data science roles * Strong proficiency in SQL, Python, and R * Experience with Power BI, Tableau, or similar visualization tools, including data modeling and DAX * Strong analytical and problem ...

UL Solutions

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

... data science roles * Strong proficiency in SQL, Python, and R * Experience with Power BI, Tableau, or similar visualization tools, including data modeling and DAX * Strong analytical and problem ...

PayPal, Inc.

Staff Data Scientist

Chicago, IL · On-site

Lead the development and implementation of advanced data science models. Develop cutting edge ... Visualization (Tableau/Power BI): Experience building comprehensive reporting modules and ...

PayPal

Staff Data Scientist

Chicago, IL

Lead the development and implementation of advanced data science models. Develop cutting edge ... Visualization (Tableau/Power BI): Experience building comprehensive reporting modules and ...

Socket.dev

Lead Data Scientist

Oak Brook, IL · On-site

$102.60 - $193.43/hr

... science, statistics, mathematics, econometrics, engineering, or other quantitative field of study Experience: * Experience working with Agile methodologies * Experience using data visualization tools ...

The Chamberlain Group

Lead Data Scientist

Oak Brook, IL · On-site

$102K - $193K/yr

... science, statistics, mathematics, econometrics, engineering, or other quantitative field of study Experience: * Experience working with Agile methodologies * Experience using data visualization tools ...

New

CHAMBERLAIN GROUP

Lead Data Scientist

Oak Brook, IL · Hybrid

$102K - $193K/yr

... science, statistics, mathematics, econometrics, engineering, or other quantitative field of study Experience: * Experience working with Agile methodologies * Experience using data visualization tools ...

Chamberlain Group

Lead Data Scientist

Oak Brook, IL · On-site

$102K - $193K/yr

... science, statistics, mathematics, econometrics, engineering, or other quantitative field of study Experience: * Experience working with Agile methodologies * Experience using data visualization tools ...

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Showing results 41-60

All JobsData Science Visualization JobsData Science Visualization Jobs in Rolling Meadows, IL

Data Science Visualization information

See Rolling Meadows, IL salary details

$54.3K

$110.1K

$162.4K

How much do data science visualization jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science visualization in Rolling Meadows, IL is $110,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $123,700.00 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.

What job categories do people searching Data Science Visualization jobs in Rolling Meadows, IL look for?

The top searched job categories for Data Science Visualization jobs in Rolling Meadows, IL are:

What cities near Rolling Meadows, IL are hiring for Data Science Visualization jobs?

Cities near Rolling Meadows, IL with the most Data Science Visualization job openings:

Data Science Visualization jobs near you

Senior Instructional Professor (open rank) in Data Science

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Posted 19 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities

Job description

Description
The Data Science Institute at the University of Chicago invites applications for the position of Senior Instructional Professor (open rank) to lead the Data Science Clinic. The Data Science Clinic is an experiential project-based course where students work in teams as data scientists with real-world clients from industry, academia, and social impact organizations. You can view more information about the DSI Clinic on our website here.
The candidate will be appointed as Assistant Senior Instructional Professor, Associate Senior Instructional Professor, or Senior Instructional Professor, depending on qualifications and years of experience in a similar role. The appointment will be made in the Data Science Institute.
The appointment will be for a term of up to five years, renewable. This is a career-track position with competitive salary and benefits. This position is expected to begin on or around December 1st, 2026.
Responsibilities include leading and teaching three quarters of the data science clinic courses as well as up to one additional course in data science. Additional responsibilities include hiring, evaluation, supervision, and mentoring of academic and staff appointees in the DSI Clinic program.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
The University of Chicago is implementing an ambitious plan for research and education in Data Science and AI, including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute (datascience.uchicago.edu) is a collaboration among the Department of Computer Science (cs.uchicago.edu), the Department of Statistics (stat.uchicago.edu), and other units on campus. Topics of interest include foundations and applications of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data engineering, scalable data systems, and high-dimensional statistical inference.
We encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real-world and domain-specific problems. The Committee on Data Science (codas.uchicago.edu) is the home of data science education programs. The larger data science community at the University of Chicago includes the Committee on Computational and Applied Mathematics (cam.uchicago.edu), the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab and Argonne National Laboratory.
Qualifications
Required:
  • A Ph.D. in a related field
  • At least two years of experience teaching in a college or university as an instructor of record

Preferred:
  • Training and professional experience in one or more of the following areas: data science, machine learning, artificial intelligence, databases, and applied statistics.
  • Experience in management of experiential learning academic programs and personnel
  • And 3 years of industry experience with demonstrated quantitative, analytic, data science, and/or AI experience.

Application Instructions
Applications must be submitted online through the University of Chicago's Academic Jobs website: apply.interfolio.com/190212.
Review of applications will begin on October 1, 2026 and will continue until all positions are filled.
The following materials are required:
  • curriculum vitae
  • cover letter
  • A teaching statement including description of teaching philosophy, curricular development experience, and ability to interact with a diverse group of students
  • Evidence of successful management of programs (or evidence of potential to do so)
  • Evidence of teaching effectiveness (e.g., course evaluations, performance review, or other relevant assessments),
  • syllabi of courses previously designed and taught
  • three confidential letters of recommendation requested via Interfolio

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