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

Master's degree in Data Science, Mathematics, or another quantitative field preferred Experience ... Familiarity with data visualization tools (e.g., PowerBI or Python visualization libraries)

Leverage Tableau and data visualization best practices to deliver scalable, intuitive insights ... Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field ...

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

... visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper-intermediate English level. NICE ...

Data Scientist

Chicago, IL ยท 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 ...

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

IL0219 - Data Scientist.

Warrenville, IL ยท On-site +1

$128K/yr

... and visualization software. Build and evaluate Marketing ML models using First & Third Party ... Master's degree in Data Science, Computer Science or related field and two (2) years of experience ...

IL0219 - Data Scientist.

Warrenville, IL ยท On-site +1

$128K/yr

... and visualization software. Build and evaluate Marketing ML models using First & Third Party ... Master's degree in Data Science, Computer Science or related field and two (2) years of experience ...

IL0219 - Data Scientist.

Warrenville, IL ยท On-site +1

$128K/yr

... and visualization software. Build and evaluate Marketing ML models using First & Third Party ... Master's degree in Data Science, Computer Science or related field and two (2) years of experience ...

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Data Science Visualization information

See Chicago, IL salary details

$55.6K

$112.8K

$166.4K

How much do data science visualization jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data science visualization in Chicago, IL is $112,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $126,700.00 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 Chicago, IL look for? The top searched job categories for Data Science Visualization jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Science Visualization jobs? Cities near Chicago, IL with the most Data Science Visualization job openings:
Director Artificial Intelligence & Data Science

Director Artificial Intelligence & Data Science

Alliant Credit Union

Chicago, IL โ€ข On-site, Remote

$167K - $287K/yr

Full-time, Part-time

Posted 17 days ago


Job description

Responsible enterprise leader for defining and executing the organizationโ€™s AI, advanced analytics, and data science strategy. Bridges business strategy, advanced analytics, and AI platform enablement to deliver measurable business outcomes, optimize decision-making, and drive responsible AI adoption at scale. Lead cross-functional teams to design, build, and operationalize advanced analytics models and enterprise AI platforms while ensuring alignment with regulatory requirements, governance standards, and ethical AI principles. Foster a data-driven culture and position the organization to maximize value from AI and analytics investments.

Essential Responsibilities

  • Define and execute the enterprise strategy for AI enablement, data science, and advanced analytics.
  • Translate business priorities into scalable AI, analytics, and platform roadmaps with clear outcomes.
  • Lead the design, implementation, and optimization of enterprise AI platforms, including MLOps/LLMOps capabilities.
  • Own the โ€œIndustrialโ€ Use Case portfolio (i.e., large enterprise-grade AI use cases), including intake, prioritization, roadmap, execution, and value realization across enterprise AI and advanced analytics initiatives.
  • Lead decision science efforts spanning predictive modeling, optimization, experimentation, and decision strategy to improve business performance, risk outcomes, and operational efficiency.
  • Establish and scale reusable frameworks, standards, and tools to enable responsible AI adoption.
  • Deliver actionable insights and recommendations through data storytelling and visualization to influence decision-making.
  • Ensure compliance with Alliantโ€™s governance, regulatory, legal, privacy, and ethical AI requirements across solutions.
  • Partner with technology, data, risk, and business leaders to align AI and analytics initiatives with enterprise goals.
  • Drive adoption and value realization of AI and analytics solutions across the organization.
  • Establish and track KPIs to measure platform performance, model effectiveness, and business impact.
  • Evaluate and manage AI technologies, tools, and vendor partnerships.
  • Foster a culture of innovation, continuous learning, and enterprise-wide data and AI maturity.
  • Plan, oversee and lead the work of the team to meet functional and individual operational objectives and goals. Coach, mentor, and develop staff, including overseeing new employee onboarding and providing career development planning and opportunities. Responsible for hire, fire, performance, discipline and problem-resolution decisions.

Education & Years of Experience

  • Minimum - 4 Year Bachelors Degree in Computer Science, Data Science, Engineering, Finance Data or related
  • Preferred - Graduate Degree in Computer Science, Data Science, Engineering, Finance Data or related
  • Minimum - 10 Years of AI, data science, analytics, technology leadership role or related
  • Minimum - 5 Years of People Management

In Lieu of Education

  • 15 Years of AI, data science, analytics, technology leadership role including people management

Compensation & Benefits:

Typical hiring range:โ€โ€โ€Ž โ€Ž $167,700.00 to $287,500.00โ€Ž Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.

โ€ŽBenefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:

  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays
  • Education reimbursement

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.

The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.