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Data Science Visualization Jobs in Illinois (NOW HIRING)

NielsenIQ

Data Science Intern

Chicago, IL · On-site

Company Description NielsenIQ's North America Data Science team empowers clients to make bold ... Bonus: familiarity with visualization tools (e.g., Tableau, Power BI) or version control (e.g., Git)

Tempus

AI Data Science Summer Associate

Chicago, IL · On-site +1

$35/hr

Tempus is seeking an AI Data Science Summer Associate focused on applying advanced data science, AI ... Proficiency in statistical analysis and visualization using tools like pandas, NumPy, and ...

84.51°

Senior Data Scientist

Chicago, IL · On-site

... science techniques and methodological approaches to less technical audiences - both internal and external. * Strong analytical, problem-solving and decision-making skills. * Strong data visualization ...

SynergisticIT

Data Scientist

Chicago, IL · On-site

$95K - $150K/yr

Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) * Internship or project experience in data science or data engineering Client Requirements Our U.S.-based clients ...

MessageControl

Data Scientist

Chicago, IL · On-site

... visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication. * Help drive our data science culture and strategy.

MessageControl

Data Scientist

Chicago, IL · On-site

... visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication. * Help drive our data science culture and strategy.

Hanchey

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

Methods include basic descriptive approaches including trending and visualization to advanced ... the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence ...

Hanchey

Data Scientist

Chicago, IL · On-site

Methods include basic descriptive approaches including trending and visualization to advanced ... the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence ...

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Data Science Visualization information

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.

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 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 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 Illinois? For Data Science Visualization jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Illinois look for? The top searched job categories for Data Science Visualization jobs in Illinois are:
What cities in Illinois are hiring for Data Science Visualization jobs? Cities in Illinois with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Data Science Intern

Data Science Intern

NielsenIQ

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

NielsenIQ rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

8th of 424 rated business services

Job description

Company Description
Job Description
NielsenIQ's North America Data Science team empowers clients to make bold decisions using trusted data, measurement science, and advanced analytics. As a Summer Intern, you'll work alongside data scientists and cross-functional partners to support real client and product initiatives-helping turn complex, multi-sourced data into clear, actionable insights. You'll build hands-on skills in data preparation, exploratory analysis, statistical thinking, and automation while learning how analytics products are developed and delivered at scale.
What You'll Do
  • Support defined analytical workstreams by cleaning, joining, and validating multi-sourced datasets.
  • Perform exploratory data analysis (EDA) to identify trends, outliers, and data quality issues; summarize findings for stakeholders.
  • Build and automate repeatable analysis pipelines or reporting outputs using Python and/or SQL.
  • Apply basic statistical techniques to measure performance, compare segments, or evaluate changes over time.
What You'll Learn
  • How trusted data assets and measurement concepts are used to answer business questions in retail and consumer insights.
  • Best practices for data quality checks, reproducible analysis, and clear analytical storytelling.
  • Hands-on experience with real-world, large-scale datasets and common data science workflows.
  • How to collaborate in an agile, cross-functional environment and communicate progress and results.
Qualifications
Qualifications
  • Currently pursuing a Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering) with graduation expected in 2027 or later.
  • Coursework or project experience in statistics, data analysis, machine learning, or other relevant fields.
  • Permanent U.S. work authorization required; no Visa sponsorship available
Skills
  • Working knowledge of Python (pandas, numpy) and/or SQL for data manipulation and analysis.
  • Attention to data quality and detail.
  • Clear written and verbal communication; ability to explain findings to technical and non-technical audiences.
  • Curiosity, a growth mindset, and a collaborative approach to problem solving.
  • Bonus: familiarity with visualization tools (e.g., Tableau, Power BI) or version control (e.g., Git).
Additional Information
Our Benefits
  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
About NIQ
NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.
For more information, visit NIQ.com
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Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
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About NielsenIQ

Sourced by ZipRecruiter

NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world's population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what's possible. How? We combine unparalleled datasets, pioneering technology, and the industry's top talent to create insights that unlock innovation. Join us and change the landscape.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1923

Social media

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