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Data Classification Associate Jobs in Chicago, IL

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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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 ...

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 ...

... FLSA Classification : Exempt Start date : ASAP About Braven Braven is a national nonprofit that ... Monitor data and performance in real time, using insights to refine strategies and drive continuous ...

... FLSA Classification : Exempt Start date : ASAP About Braven Braven is a national nonprofit that ... Monitor data and performance in real time, using insights to refine strategies and drive continuous ...

Ability to analyze data for optimizing processes, effective verbal and written communication skills ... classification and are not intended to be a complete list of all responsibilities, duties and ...

Warehouse Office Associate

Carol Stream, IL

$17.50 - $23.50/hr

Ability to analyze data for optimizing processes, effective verbal and written communication skills ... classification and are not intended to be a complete list of all responsibilities, duties and ...

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Data Classification Associate information

See Chicago, IL salary details

$14

$34

$57

How much do data classification associate jobs pay per hour?

As of Jun 24, 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 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.

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 most commonly searched types of Data Classification jobs in Chicago, IL? The most popular types of Data Classification jobs in Chicago, IL are:
Applied AI/ML - Senior Associate

Applied AI/ML - Senior Associate

JP Morgan Chase

Chicago, IL

Full-time

Medical, Retirement

Posted 17 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.
As an Applied AI/ML Senior Associate within the CIB Technology team at JPMorganChase, you will play a crucial role in analyzing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. You will use your knowledge of ML toolkit and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new systems. We are looking for someone with a passion for data, ML, and Software Development, who can understand the data landscape in large and complex organizations.
 
Job Responsibilities
  • Assist product leadership in defining the problem statements, execution roadmap
  • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems.
  • Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.
  • Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
  • Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
  • Collaborate to develop large-scale data modeling experiments, explain complex concepts to senior leaders and stakeholders.
  • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.

 
Required qualifications, capabilities, and skills
  • BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning. Strong background in Mathematics and Statistics.
  • 5+ years' experience in applying data science, ML techniques to solve business problems and one of the programming languages like Python, Java, C/C++, etc.
  • Experience with LLMs and Prompt Engineering techniques.
  • 1+ year of experience working with Gen AI solutions / LLMs such as  GPT, Claude, Llama etc.
  • Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models
  • Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
  • Experience with Big Data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
  • Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.
  • Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.
  • Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player
 
Preferred qualifications, capabilities and skills
  • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals
  • Experience with A/B experimentation and data/metric-driven product development
  • Ability to develop and debug production-quality code and familiarity with continuous integration models and unit test development
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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