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Data Science Visualization Jobs in Joliet, IL (NOW HIRING)

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 ...

Prioritizes, scopes and manages data science projects and the corresponding key performance ... Applies statistical analysis and visualization techniques to various data, such as hierarchical ...

Senior Data Scientist

Chicago, IL · On-site

$90.80K - $145K/yr

Prioritizes, scopes and manages data science projects and the corresponding key performance ... Applies statistical analysis and visualization techniques to various data, such as hierarchical ...

Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates ... Computer Vision, data visualization tools Excellent written and verbal communication skills ...

Principal Data Scientist

Chicago, IL · On-site

$122.40K - $228K/yr

... 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 ...

Design and implement workflows for data processing, visualization, and interpretation that enable rapid, high-quality decision-making * Partner with discovery scientists to translate biological ...

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Data Science Visualization information

See Joliet, IL salary details

$52.3K

$105.9K

$156.3K

How much do data science visualization jobs pay per year?

As of May 28, 2026, the average yearly pay for data science visualization in Joliet, IL is $105,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $119,000.00 per year, depending on experience, location, and employer.

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 Joliet, IL? For Data Science Visualization jobs in Joliet, IL, the most frequently searched job titles are:
What cities near Joliet, IL are hiring for Data Science Visualization jobs? Cities near Joliet, IL with the most Data Science Visualization job openings:

Data Scientist

Hanchey

Chicago, IL • On-site

Other

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


Job description

Job Posting

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects. Upon acquiring new business, the DSC owns the remaining phases of the project lifecycle: definition/planning, execution and completion. The definition/planning and execution phases focus on identifying relationships across data sources to provide insight into the individual and environmental characteristics and factors that drive behaviors and outcomes in the casualty and absence space. Methods include basic descriptive approaches including trending and visualization to advanced causal analysis rooted in statistics and data mining techniques. The DSC interprets results and presents findings to clients coupled with solutions for preventing or mitigating future exposures in conjunction with product line teams brought into the project as needed and as outlined in the project acquisition process. Skills: Significant knowledge of statistics and data mining methods such as, but not limited to, various forms of regression analysis and decision tree techniques Familiarity with visualizations tools such a Qlik or Tableau Understanding of data warehousing concepts Highly developed communication skills covering report development, presentation, and meeting management Project management Organized and collaborative Self-starter that works well alone as well as in a group Requirements Bachelor's degree in mathematics, statistics, or related field; Masters or advanced certificate in data analytics preferred. 7-10 years of experience in the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management industry preferred.