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

Avant LLC

Associate, Data Science, Credit Risk

Chicago, IL · On-site

$95K - $130K/yr

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference. This person will be a key member of ...

Avant

Associate, Data Science, Credit Risk

Chicago, IL

$95K - $130K/yr

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference. This person will be a key member of ...

Avant

Associate, Data Science, Credit Risk

Chicago, IL · On-site

$95K - $130K/yr

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference. This person will be a key member of ...

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$59K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Our science is your advantage. * Minimum of bachelor's degree or equivalent work experience in Data ...

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$60K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Our science is your advantage. * Minimum of bachelor's degree or equivalent work experience in Data ...

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

Design and develop data science and machine learning models to optimize operational tactics ... associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

Design and develop data science and machine learning models to optimize operational tactics ... associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be ...

AbbVie

Data Science Program Lead I

North Chicago, IL · On-site

Responsible for coaching and mentoring Data Science Associates. May include indirect supervision of work for contract resources * Participates in DSS and cross-functional innovation and process ...

AbbVie

Data Science Program Lead I

North Chicago, IL · On-site

$84K/yr

Responsible for coaching and mentoring Data Science Associates. May include indirect supervision of work for contract resources * Participates in DSS and cross-functional innovation and process ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

Design and develop data science and machine learning models to optimize operational tactics ... associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be ...

Ecolab

Sr Data Scientist

Naperville, IL · On-site

$118K - $177K/yr

Drive experimentation and delivery of digital AI / data science product innovations aligned to the ... With annual sales of $13 billion and more than 45,000 associates, Ecolab delivers comprehensive ...

Munich Re

Data Scientist, AI

Chicago, IL · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

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All JobsData Science Associate JobsData Science Associate Jobs in Chicago, IL

Data Science Associate information

See Chicago, IL salary details

$59.2K

$70.1K

$132.9K

How much do data science associate jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data science associate in Chicago, IL is $70,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $61,300.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Chicago, IL? The most popular types of Data Science jobs in Chicago, IL are:
What are popular job titles related to Data Science Associate jobs in Chicago, IL? For Data Science Associate jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Chicago, IL look for? The top searched job categories for Data Science Associate jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Science Associate jobs? Cities near Chicago, IL with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $70,090 per year, or $33.7 per hour.
Associate, Data Science, Credit Risk

Associate, Data Science, Credit Risk

Avant LLC

Chicago, IL • On-site

$95K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago

Job description

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference. This person will be a key member of our Data Science team and responsible for the development of numerous kinds of customer lifecycle models. If you are looking for an opportunity to join a great team where you can be yourself, deepen your skills and experiences, and find new areas of inspiration then consider a career at Avant!
What you'll do at Avant:
  • Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions using different modeling techniques
  • Design and build predictive models to enhance customer experience, reduce risk, improve revenue generation, optimize direct mail targeting, and drive key outcomes throughout the customer lifecycle
  • Design and build robust credit risk models, including application scorecards, behavioral models, loss forecasting, and risk-based pricing, to optimize underwriting decisions and drive overall portfolio performance.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Clean, process and validate data to ensure its quality and integrity for modeling and analysis
  • Conduct feature engineering, select appropriate features and develop robust models using various machine learning techniques
  • Perform ad-hoc analysis and present results in a clear manner to senior management. Provide timely and justified recommendations in response to ad-hoc analysis requested by internal groups
  • Proactively collaborate with Data Engineering, ML Operations, Software Development, Credit Risk, Marketing, Legal & Compliance, and other internal groups to implement and monitor models across the customer lifecycle
  • Develop and enhance processes and tools to monitor model performance and input and output data accuracy

Why you're a fit at Avant:
  • Master's or PhD degree in Machine Learning, Computer Science, Statistics, Operations Research or a related STEM fields
  • 2-3 years of professional experience in machine learning or data science within the consumer credit/lending or fintech industry
  • Strong expertise in machine learning theories and practices (Generalized Linear Model, Support Vector Machine, Random Forest, Gradient Boosting, Deep Learning, etc.)
  • Familiarity with Object-Oriented Design (OOD) concept and functional programming with 2+ years experience writing production-level code
  • Proficiency in Python with experience in the end-to-end development of machine learning models. Strong domain expertise and technical knowledge of credit risk modeling
  • Advanced in SQL for querying and analyzing large datasets
  • Excellent communication skills, with the ability to present complex concepts and findings clearly to both technical and non-technical audiences, and effectively collaborate with cross-functional teams
  • Strong analytical, problem-solving and critical-thinking skills, with a keen attention to detail and data integrity
  • Preferred: Experience with ML and data analytics platforms/technologies such as Databricks, AWS (including AI/ML tools) and Looker

If you are a highly motivated and detail-oriented individual with a passion for data and product management, we encourage you to apply for this position.
This role is based on our downtown Chicago Office, located in the Merchandise Mart. We highly value collaboration and our hybrid schedule (M, T, Th in-office) enables flexibility to balance work and individual priorities.
Compensation Range:
The base salary range for this job is USD $95,000 - USD $130,000 / Year
Employees new to Avant typically come in below the midpoint of the pay range. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities.
[If an outstanding applicant's experience and skill level is above or below the qualifications outlined in the job posting, we reserve the right to make an offer at a different level than the one listed in this job posting, which may have a different compensation range.]
This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role.
Our benefits include:
  • Choice of great Medical, Dental, and Vision Insurance Plan options
  • 401(k) match
  • Flexible Time Off
  • Flexible Work Environment - (i.e. Mon/Tues/Thurs in-person)
  • Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program
  • Lunch Allowance (Fooda) and In-office Snacks
  • Summer Fridays
  • Fun In-Office and Virtual Social Events
  • And who doesn't love the swag

Check out our Avant Blog!
We believe that a diverse set of backgrounds and experiences helps us create the most innovative solutions for our customers. We invite you to apply to our positions even if you do not meet 100% of the qualifications listed in the description. If you're passionate about our mission and aligned to our values, we hope you'll come contribute to our awesome culture.
Why Avant is the place for you:
At Avant, we believe our values make a difference:
Authenticity. We show up to work as our whole selves and make sure others can too.
Collaboration. We can only succeed when we do so as a team.
Problem-Solving. The harder the problem, the more satisfying the solution.
Customer. We are all owners of the customer experience.
Initiative. Plan. Adapt. Get Sh!t Done.
We believe that great ideas come from anyone and anywhere, that everyone is an owner who drives change, and that we have more fun when we work together. We're problem solvers who love collaborating with intelligent and highly-motivated people to reshape the face of digital banking. Avant offers terrific perks and benefits, fun social events with employees who actually like hanging out together, and a flexible growth environment where trying your hand at new projects and being the active owner of your career path is encouraged and supported.
To learn more about how Avant collects and uses your personal information, please see the Avant Privacy Policy.

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