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Data Scientist Jobs in Evanston, IL (NOW HIRING)

Dime Line Trading

Data Scientist

Chicago, IL

Dime Line Trading is hiring a Data Scientist to help build and scale our data foundation from the ground up. This is a newly created role that will play a critical part in shaping how the firm ...

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

Data Scientist (Masters) - AI Data Trainer About the Role What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI ...

Marmon Holdings, Inc.

Data Scientist

Carol Stream, IL · Hybrid

The Data Scientist partners closely with Commercial Analytics leadership and cross-functional stakeholders to convert business questions into advanced analytical, machine learning, and AI-enabled ...

Publicis Groupe Holdings B.V

Data Scientist

Chicago, IL · Hybrid

$73.50K - $136.50K/yr

Responsibilities * Assist with and execute data science projects, working with product, engineering and/or customer service teams to identify requirements, perform analysis, and present results and ...

Vizient

Data Scientist

Chicago, IL · On-site

$77.40K - $135.40K/yr

Develop data science insights across single and multiple domains. * Communicate analytical findings to clinical and administrative client audiences. * Apply data assessment techniques including ...

TransUnion

Data Scientist

Chicago, IL · On-site

As a Data Scientist, you will support the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing ...

Marmon

Data Scientist

Carol Stream, IL · Hybrid

The Data Scientist partners closely with Commercial Analytics leadership and cross-functional stakeholders to convert business questions into advanced analytical, machine learning, and AI-enabled ...

Vizient, Inc.

Data Scientist

Chicago, IL · On-site

$77.40K - $135.40K/yr

Develop data science insights across single and multiple domains. Communicate analytical findings to clinical and administrative client audiences. Apply data assessment techniques including discovery ...

TransUnion

Data Scientist

Chicago, IL · On-site

As a Data Scientist, you will support the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing ...

TransUnion

Data Scientist

Chicago, IL

As a Data Scientist, you will support the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing ...

Transunion

Data Scientist

Chicago, IL

$67.50K - $112.50K/yr

As a Data Scientist, you will support the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing ...

Tendo

Principal Data Scientist

Chicago, IL

$131.75K - $178.25K/yr

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and ...

TENDO

Principal Data Scientist

Chicago, IL · On-site

$131.75K - $178.25K/yr

Principal Data Scientist The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple ...

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

The Senior Data Scientist is a highly experienced individual contributor within the Decision Science team, responsible for solving complex, cross-functional, and high-impact business problems using ...

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Data Scientist information

See Evanston, IL salary details

$36K

$117.8K

$188.6K

How much do data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist in Evanston, IL is $117,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $130,500.00 per year, depending on experience, location, and employer.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Evanston, IL? The most popular types of Data Scientist jobs in Evanston, IL are:
What are popular job titles related to Data Scientist jobs in Evanston, IL? For Data Scientist jobs in Evanston, IL, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Evanston, IL look for? The top searched job categories for Data Scientist jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Data Scientist jobs? Cities near Evanston, IL with the most Data Scientist job openings:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Evanston, IL as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,787 per year, or $56.6 per hour.

Data Scientist

Dime Line Trading

Chicago, IL

Full-time

Posted 20 days ago

Job description

Dime Line Trading is hiring a Data Scientist to help build and scale our data foundation from the ground up. This is a newly created role that will play a critical part in shaping how the firm organizes, analyzes, and leverages data to support trading and research.
You will work closely with trading, research, and engineering stakeholders to organize existing data, improve its reliability and usability, and develop predictive models that directly inform decision-making.
This role is ideal for someone who enjoys working across the full data lifecycle — from raw, unstructured data to structured analysis, insights, and models that meaningfully impact trading performance.
What You'll Do
  • Audit, organize, and document existing data sources across the firm
  • Clean, structure, and transform data to make it accessible, reliable, and scalable
  • Design and maintain data pipelines and workflows that support ongoing research and trading initiatives
  • Build, test, and iterate on predictive models using historical and real-time data
  • Partner with internal teams to understand trading and development initiatives and translate them into data-driven solutions
  • Create clear analyses, visualizations, and summaries to communicate findings and model results to both technical and non-technical stakeholders
  • Help establish best practices around data quality, versioning, documentation, and reproducibility

What We're Looking For
  • Strong proficiency in Python and/or R, including common data and modeling libraries (e.g., pandas, NumPy, scikit-learn)
  • Experience with SQL for querying, transforming, and managing structured data
  • Experience working with large, complex, or messy datasets
  • Solid understanding of statistics, modeling techniques, and data validation
  • Ability to work independently while also collaborating closely with senior members of the team
  • Comfort bringing structure to ambiguous problems and evolving projects
  • Clear communication skills and ability to collaborate across technical and non-technical teams
  • Experience with sports analytics and/or sports betting is a plus