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Data Science Visualization Jobs in Illinois (NOW HIRING)

AbbVie

Associate Scientist, Data II

North Chicago, IL

$56.70K - $57.20K/yr

... visualization, and analysis of large and complex data sets. * Demonstrate knowledge of the ... Bachelor's degree in Computer Science, Data Science, or a related technical field with 2 years of ...

AbbVie

Associate Scientist, Data II

North Chicago, IL

$56.70K - $57.20K/yr

... visualization, and analysis of large and complex data sets. * Demonstrate knowledge of the ... Bachelor's degree in Computer Science, Data Science, or a related technical field with 2 years of ...

AbbVie

Associate Scientist, Data II

North Chicago, IL · On-site

$65.50K/yr

... visualization, and analysis of large and complex data sets. * Demonstrate knowledge of the ... Bachelor's degree in Computer Science, Data Science, or a related technical field with 2 years of ...

UL Solutions

Associate Data Scientist

Northbrook, IL

$59.90K - $60.40K/yr

Our science is your advantage. * Minimum of bachelor's degree or equivalent work experience in Data ... Familiarity with data visualization tools (e.g., Power BI, Matplotlib) to communicate findings.

New

UL Solutions

Data Scientist

Northbrook, IL · On-site

$80K - $100K/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 ...

BMO Financial

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 ...

Bank of Montreal

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 ...

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 ...

HNTB

Transportation Data Scientist

Downers Grove, IL

$74.42K - $139.53K/yr

... applying data visualization and statistical programming tools to enterprise data in order to ... Bachelor's degree in data science, statistics, computer science, computer engineering, or ...

Chamberlain Group

Lead Data Scientist

Oak Brook, IL · On-site

$102.60K - $193.43K/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 · Hybrid

$102.60K - $193.43K/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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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
Talent Community | Data Scientist

Talent Community | Data Scientist

EVOZYNE INC

Chicago, IL • On-site

Full-time

Posted 14 days ago

Job description

Evozyne designs and builds engineered protein therapeutics using our AI-native platform, transforming what’s possible in immune-mediated disease treatment. Our Data Scientists partner closely with our research teams to transform complex experimental data into insights that guide molecule design and program strategy, turning bold ideas into therapies that can meaningfully improve patients’ lives. This posting helps us connect with candidates for future opportunities. While this listing is not tied to a current opening, we encourage you to join our talent community so we can connect with you when new roles emerge!

Key Responsibilities

  • Analyze and integrate diverse experimental datasets (e.g., sequencing, biophysical, cell-based, and functional assays) to inform therapeutic design decisions
  • Develop computational and statistical models to support protein engineering, optimization, and candidate selection
  • Design and implement workflows for data processing, visualization, and interpretation that enable rapid, high-quality decision-making
  • Partner with discovery scientists to translate biological questions into quantitative analyses and predictive approaches
  • Apply machine learning and modeling methods to improve design strategies
  • Build scalable tools and pipelines that enhance reproducibility and accessibility of experimental insights
  • Communicate findings clearly to cross-functional teams and contribute to project strategy and prioritization

Who You Are

You thrive in an early-stage start-up environment and are motivated by the opportunity to build new therapies that can transform patients’ lives. You combine agility with scientific rigor to deliver high-quality results, and you bring natural curiosity and a collaborative mindset to solving complex challenges.

Minimum Qualifications

  • Undergraduate and/or graduate level education focused on data science, computational biology, bioinformatics, computer science, machine learning, AI, or a similar field
  • Hands on experience analyzing experimental, biological, chemistry, or physics datasets (industry, startup, or academic lab)
  • Ability to understand experimental context (read protocols, interpret assay outputs) and partner effectively with experimentalists
  • Solid grasp of EDA and basic statistics (distributions, confidence intervals, hypothesis testing)

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