ZipRecruiter

Log In

1

Data Science Visualization Jobs in Schaumburg, IL

UL Solutions

Data Scientist

Northbrook, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

We seek instructors with professional experience in data science and analytics, who can teach in areas relevant to data science including data visualization, multivariate statistics, time series ...

Bank of Montreal

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

  • Medical

  • Life

  • Retirement

... of data science experience. * In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc. * Data visualization and polished ...

BMO Capital Markets

Principal Data Scientist

Chicago, IL

$122K - $228K/yr

  • Medical

  • Life

  • Retirement

... of data science experience. * In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc. * Data visualization and polished ...

UL Solutions

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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

  • Medical

  • PTO

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

  • Medical

  • PTO

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

previous page

Showing results 41-60

All JobsData Science Visualization JobsData Science Visualization Jobs in Schaumburg, IL

Data Science Visualization information

See Schaumburg, IL salary details

$53K

$107.5K

$158.6K

How much do data science visualization jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science visualization in Schaumburg, IL is $107,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,400.00 and $120,800.00 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 Schaumburg, IL?

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

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

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

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

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

Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Schaumburg, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $107,477 per year, or $51.7 per hour.

Data Scientist

UL Solutions

Northbrook, IL • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

UL Solutions rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

28th of 120 rated laboratories

Job description


The Data Scientist is responsible for delivering data-driven insights and analytical solutions that support business decision-making. This role partners closely with business stakeholders, data engineering, and development teams to analyze complex datasets, build visualizations, and develop predictive models. The ideal candidate combines strong analytical skills with business acumen and effective communication in an Agile environment.
Responsibilities
  • Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling.
  • Perform ad-hoc and recurring analyses, presenting results and insights in a clear, concise manner to support business decision-making.
  • Analyze large, complex datasets to extract meaningful insights, selecting appropriate statistical, analytical, and machine learning techniques based on the problem context.
  • Select relevant features and build, evaluate, and optimize classification and predictive models using machine learning techniques.
  • Apply data mining and advanced analytical methods to identify trends, patterns, and relationships within structured and unstructured data.
  • Extend and enrich customer and business datasets using third-party data sources when required to improve analytical outcomes.
  • Enhance data collection and preparation procedures to ensure relevant, high-quality inputs for analytic and machine learning systems.
  • Use data modeling and evaluation strategies to identify patterns and accurately predict unseen or future instances.
  • Collaborate with business and technical stakeholders to align analytical solutions with business objectives.
  • Adhere to the Underwriters Laboratories Code of Conduct and follow all physical and digital security, data governance, and compliance practices.Collaborate with business stakeholders to gather, analyze, and document requirements, translating needs into BRDs, user stories, and functional specifications.
  • Analyze large, complex datasets using statistical and analytical techniques to identify trends, patterns, and actionable insights.
  • Build and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or similar tools.
  • Apply statistical methods and basic machine learning models to support forecasting, prediction, and business decision-making.
  • Perform ad-hoc and recurring analyses to support both operational reporting and strategic initiatives.
  • Process, cleanse, validate, and maintain data accuracy and integrity across analytical datasets.
  • Enhance data collection processes and integrate third-party data sources to improve analytical coverage and model performance.
  • Communicate analytical findings and recommendations clearly to both technical and non-technical audiences.
  • Partner with development teams using Azure DevOps to manage work items, track progress, and ensure timely delivery.
  • Support data science and analytics initiatives using SQL, Python, R, and Excel.
  • Collaborate with data engineering teams to support analytics pipelines and data lake initiatives.

Qualifications
Required:
  • Master's degree in Data Science, Data Analytics, Computer Science, or related field
  • 3-5 years of experience in data analytics or 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-solving skills with attention to detail
  • Experience gathering and documenting business requirements
  • Familiarity with Agile methodologies and Azure DevOps
  • Excellent communication, interpersonal, and stakeholder management skills
  • Understanding of statistical methods and probability theory

Preferred:
  • Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras
  • Experience with Salesforce data and reporting
  • Experience in business services or manufacturing industries
  • Familiarity with NLP or deep learning techniques

What you'll experience working for ULS
UL Solutions has been pioneering change since 1894 and we're still leading the way. From day one, we've blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science.
That's where you come in - because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.
This is more than a job. It's a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today - and tomorrow. As a member of our safety science community, you'll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world.
Everyone here is unique. But we're also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change.
Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future - one where everyone benefits.
Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.com
Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $80,000 to $120,000 and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 10% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).
Accepting applications until 12/15/2026
#LI-SG2
#LI-Remote

What UL Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply