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

Experience leading data science initiatives Benefits that support every part of your life: At ... We strive to build an environment where our associates are in the driver's seat of their ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Experience leading data science initiatives Benefits that support every part of your life: At ... We strive to build an environment where our associates are in the driver's seat of their ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Experience leading data science initiatives Benefits that support every part of your life: At ... We strive to build an environment where our associates are in the driver's seat of their ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Experience leading data science initiatives Benefits that support every part of your life: At ... We strive to build an environment where our associates are in the driver's seat of their ...

Lead Data Engineer

Chicago, IL · On-site

$125K - $207K/yr

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S ... Below is a list of some of the benefits we offer our associates: * Health: Medical: with ...

Lead Data Engineer

Chicago, IL · On-site

$125K - $207K/yr

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S ... Below is a list of some of the benefits we offer our associates: * Health: Medical: with ...

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

As an Associate, you'll have access to industry-recognized certifications, digital badges, and a ... Preferred Bachelor's degree in a related field (Computer Science, Data Science, Statistics, Math ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ...

Showing results 41-60

Data Science Associate information

See Itasca, IL salary details

$56K

$66.2K

$125.6K

How much do data science associate jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science associate in Itasca, IL is $66,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $57,900.00 per year, depending on experience, location, and employer.

What is a data science associate?

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 are the key skills and qualifications needed to thrive as a data science associate?

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.

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.

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 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 advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Itasca, IL?

The most popular types of Data Science jobs in Itasca, IL are:

What job categories do people searching Data Science Associate jobs in Itasca, IL look for?

The top searched job categories for Data Science Associate jobs in Itasca, IL are:

What cities near Itasca, IL are hiring for Data Science Associate jobs?

Cities near Itasca, IL with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Itasca, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,247 per year, or $31.8 per hour.

Data Scientist - Global Services Insights & Analytics, Commercial Banking - Sr. Associate

J.P. Morgan

Chicago, IL

Full-time

Medical, Retirement

Posted 3 days ago

New


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join our Global Services Insights & Analytics team and help turn data into decisions that improve how we operate. You'll partner with senior leaders, tackle meaningful business problems, and deliver insights that drive measurable outcomes. This is an opportunity to build scalable analytics solutions, strengthen controls, and elevate service and efficiency across Commercial Banking. If you enjoy hands-on data science and clear storytelling, we'd like to hear from you.

As a Data Scientist in Global Services Insights & Analytics, you will lead data-driven initiatives that strengthen planning, efficiency, service, and controls within Commercial Banking. You will work closely with senior stakeholders to frame the right questions, design sound analytical approaches, and translate results into practical recommendations. You will combine statistical methods and machine learning with strong business context to deliver actionable insights. You will help build repeatable solutions that scale and improve performance over time.

In this role, you'll help shape how the team measures success and prioritizes improvement opportunities. You'll balance exploratory analysis with production-ready delivery, and you'll be expected to communicate clearly to technical and non-technical audiences. You'll also collaborate across business and functional partners to align on outcomes, timelines, and data requirements.

Job responsibilities 

  • Lead analytics and insight-generation initiatives using hands-on data science techniques
  • Develop experimental frameworks to support data collection and measurement
  • Define analytics approaches using business knowledge, statistical methods, and machine learning techniques
  • Build models and data applications that produce actionable insights
  • Create clear visualizations and messaging that simplify complex results
  • Collaborate with business and functional stakeholders on analytics initiatives
  • Translate business needs into well-scoped data solutions and analytical deliverables
  • Present insights and recommend next steps to senior stakeholders

Required qualifications, capabilities, and skills 

  • Three years of data science experience (financial services or commercial banking experience preferred)
  • Proficiency in Python, R, and SQL
  • Experience applying statistical methodologies to business problems (for example, experimentation, inference, forecasting, or classification)
  • Experience building machine learning models and translating outputs into actionable recommendations
  • Experience designing repeatable and scalable data solutions
  • Experience using analytics tools such as Alteryx or Trifacta
  • Experience working with distributed data environments such as Hadoop
  • Experience with data visualization tools such as Qlik Sense, Tableau, or D3
  • Experience with cloud-based analytics platforms, including Databricks
  • Strong written and verbal communication skills, including presenting insights to senior stakeholders

Preferred qualifications, capabilities, and skills 

  • Deep understanding of large language model techniques, including agents, planning, and reasoning
  • Experience building and deploying machine learning models on AWS using tools such as SageMaker and Amazon Elastic Kubernetes Service (EKS)
  • Advanced knowledge of reinforcement learning or meta learning

ABOUT US

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

ABOUT THE TEAM

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.