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Data Classification Associate Jobs in Chicago, IL

Chamberlain Group

Lead Data Scientist

Oak Brook, IL · On-site

$102K - $193K/yr

Direct activities of associate/senior data scientists, third-party contractors, and consultants for ... Expert knowledge of statistics and machine learning methods, including regression, classification ...

CHAMBERLAIN GROUP

Lead Data Scientist

Oak Brook, IL · Hybrid

$102K - $193K/yr

Direct activities of associate/senior data scientists, third-party contractors, and consultants for ... Expert knowledge of statistics and machine learning methods, including regression, classification ...

J.P. Morgan

Applied AI/ML Senior Associate

Chicago, IL · On-site

$60K - $61K/yr

You will also be tasked with designing and executing highly scalable and dependable data processing ... classification, regression algorithms. Preferred Qualifications, capabilities and skills

Range USA

Senior Sales Associate

Naperville, IL · On-site

$16/hr

Position details Position title Senior Sales Associate Reports to Store Leader Classification ... Review KPIs and coach team to expectations from this data * Achieve or exceed individual and store ...

Range USA

Senior Sales Associate

Naperville, IL

$16/hr

Position details Position title Senior Sales Associate Reports to Store Leader Classification ... Review KPIs and coach team to expectations from this data * Achieve or exceed individual and store ...

Range USA

Senior Sales Associate

Hanover Park, IL

$16/hr

Position details Position title Senior Sales Associate Reports to Store Leader Classification ... Review KPIs and coach team to expectations from this data * Achieve or exceed individual and store ...

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

Data Classification Associate information

See Chicago, IL salary details

$14

$34

$57

How much do data classification associate jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data classification associate in Chicago, IL is $34.07, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $40.38 per hour, depending on experience, location, and employer.

What does a data associate do?

A data classification associate is responsible for organizing, categorizing, and maintaining data to ensure accuracy and security. They often use data management tools and follow established protocols to label and sort data, supporting data analysis and compliance efforts.

What jobs in the US pay $300,000 a year?

For a Data Classification Associate, earning $300,000 annually is uncommon, as this role typically offers lower compensation. High-paying jobs in the US that reach or exceed this level are usually executive positions such as Chief Data Officer, Chief Technology Officer, or senior roles in investment banking, law, or specialized medical fields, often requiring extensive experience, advanced skills, and certifications.

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

To thrive as a Data Classification Associate, you need strong analytical skills, attention to detail, and a foundational understanding of data privacy and security principles, often supported by a relevant degree or certification. Familiarity with data management systems, classification software, and tools like Microsoft Excel or SQL is typically required. Excellent organizational skills, effective communication, and the ability to work independently under deadlines are valuable soft skills in this role. These skills ensure accurate data categorization, compliance with regulations, and efficient information management within an organization.

What does a Data Classification Associate do?

A Data Classification Associate is responsible for organizing and categorizing data based on its sensitivity, value, and regulatory requirements. They review data sets, apply classification labels, and ensure that information is handled according to company policies and legal standards. This role is essential for protecting sensitive information, supporting data security, and facilitating efficient data management within an organization.

Is 40 too late for data science?

The Data Classification Associate role typically requires foundational skills in data handling and classification, which can be developed at any age. Age is not a barrier to entering data science or related fields, and many professionals successfully transition into data roles later in their careers by gaining relevant certifications and skills.

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

AspectData Classification AssociateData Analyst
Required CredentialsHigh school diploma or equivalent; certifications like CDMP beneficialBachelor's degree in data science, statistics, or related field
Work EnvironmentData management teams, corporate offices, data centersBusiness units, analytics teams, corporate offices
Employer & Industry UsageUsed across industries for data governance rolesUsed in various industries for data analysis and reporting

The Data Classification Associate primarily focuses on organizing and categorizing data to ensure proper data governance, while the Data Analyst interprets data to generate insights and support decision-making. Both roles require familiarity with data management, but their core responsibilities differ significantly.

How do Data Classification Associates typically collaborate with data engineers and analysts within an organization?

Data Classification Associates frequently work alongside data engineers and analysts to ensure that data is accurately categorized and labeled for downstream processes. They often communicate classification standards, resolve ambiguities in data sets, and provide feedback on data quality issues. This collaboration helps maintain compliance with internal policies and external regulations, and supports efficient data retrieval and analysis. Regular meetings and shared documentation are common practices to align on classification criteria and address any emerging challenges.

What are the 4 types of data classification?

Data classification typically includes four main types: public, internal, confidential, and restricted. These categories help organizations manage data security and access controls, which are important skills for a Data Classification Associate to understand and implement effectively.
What are the most commonly searched types of Data Classification jobs in Chicago, IL? The most popular types of Data Classification jobs in Chicago, IL are:
Data Classification Associate jobs near you
Senior Associate, Data Scientist - Model Risk Office

Senior Associate, Data Scientist - Model Risk Office

Capital One

Chicago, IL

Full-time

Posted 6 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks

Job description

Senior Associate, Data Scientist - Model Risk Office

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence.

Role Description

In this role, you will:

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models

  • Leverage a broad stack of technologies — from foundational frameworks (PyTorch, Hugging Face), to orchestration tools  (LangChain, Vector Databases) to LLMOps, observability platforms, and more — to reveal the insights hidden within huge volumes of multi-modal data

  • Build machine learning models to challenge “champion models” that are deployed in production today and contribute to the model governance framework for the next generation of models

  • Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives.

The Ideal Candidate is:

  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.

  • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

  • A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications: 

  • Master’s Degree or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)

  • Experience working with AWS

  • At least 2 years’ experience in Python, Scala, or R for large scale data analysis

  • At least 2 years’ experience with machine learning

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Chicago, IL: $123,300 - $140,700 for Sr Assoc, Data Science


 

McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science


 

Richmond, VA: $123,300 - $140,700 for Sr Assoc, Data Science


 


 


 


 


 


 


 


 

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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