Riverwoods, IL

Data Jobs in Riverwoods, IL

7 jobs found

Include remote jobs

1d ago

Principal Data Analyst - Risk Product Data

Capital One Riverwoods, IL

Riverwoods, IL

1d ago

$119k - $136k/yr Full time Agile Agile Methodologies Analytics

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Job Description

Comprehensive benefits, inclusive culture, and hybrid flexibility are built into this Principal Data Analyst role at Capital One in Riverwoods, IL. You will use analytic and technical skills to innovate and deliver well-managed data solutions across innovation, business intelligence, and data management, with a strong focus on data quality and self-service data frameworks.

What you’ll do

Use Open Source and Digital technologies to mine complex, voluminous, and diverse data sources and platforms.
Build well-managed data solutions, tools, and capabilities that enable self-service frameworks for data consumers.
Explore and quickly grasp new technologies to advance a variety of initiatives.
Partner with the business to translate needs into tools, techniques, metrics, and dashboards for insights and data visualization.
Drive analysis that produces meaningful insights to support business strategies.
Support data quality management practices, including metadata, lineage, and business definitions.
Collaborate with relevant Tech teams to manage security mechanisms and data access governance.
Build and execute tools to monitor and report on data quality.

Minimum qualifications

Bachelor’s Degree in a quantitative field (or a Master’s Degree) and either at least 5 years of data analytics experience (Bachelor’s track) or at least 3 years (Master’s track), with the expectation the required degree will be obtained on or before the scheduled start date.
At least 3 years of experience working with at least one scripting language.
At least 3 years of experience using a business intelligence visualization tool.
At least 3 years of experience querying, analyzing, and working with data languages and platforms.

Skills and technologies you’ll work with

Open Source and Digital technologies, plus Python, R, Spark, SQL, and AWS.
Experience with data warehouses/SQL, unstructured data, and data platforms.
Familiarity with Agile, Lean, and Six Sigma.

Preferred qualifications

Master’s Degree in a Science, Technology, Engineering, Mathematics discipline.
At least 4 years coding in Python, R, Spark, or SQL.
At least 4 years working with process management and improvement methodologies such as Agile, Lean, Six Sigma.
At least 2 years utilizing and developing within AWS services.
At least 2 years delivering Data Governance and Data Quality Management concepts and practices within the financial services industry.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits designed to support your total well-being.

Hybrid and application details

Hybrid position with adherence to Capital One’s required on-site presence policy at the designated office location.
Capital One may consider sponsoring a new qualified applicant for employment authorization for this position.
Base salary range for Riverwoods, IL: $119,400 - $136,200 (minimum and maximum full-time annual salaries for this role).
Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
Expected to accept applications for a minimum of 5 business days.
Other location salary ranges (for reference): Plano, TX $119,400 - $136,200; McLean, VA $131,300 - $149,800; Richmond, VA $119,400 - $136,200.

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27d ago

Director, Data Scientist - Global Payment Network

Information Technology Senior Management Forum Riverwoods, IL

Riverwoods, IL

27d ago

$245k - $279k/yr Full time Manager Ai Ml Artificial Intelligence

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Job Description

This role leads data science strategy and execution within the Global Payment Network Data Solutions and Modeling team, where machine learning and AI agents support smarter decisions across the payments ecosystem. You will collaborate with partners across data science, engineering, and product to turn large-scale data into scalable intelligence.

Based in Riverwoods, IL in an onsite capacity, this Director-level position focuses on building and operationalizing machine learning solutions across the full development lifecycle.

What you’ll do

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-focused products
Use a broad technology stack including Python, Conda, AWS, H2O, Spark, and more to extract signal from large volumes of numeric and textual data
Build machine learning models through design, training, evaluation, validation, and implementation
Apply interpersonal skills to translate complex analysis into tangible business goals

Team mission

The Global Payment Network Data Solutions and Modeling team builds machine learning and AI agents that enable foundational, scalable intelligence for the payments ecosystem
Models and AI tools support fraud/risk, merchant acceptance, merchant intelligence, and monitoring

Required qualifications

Currently has, or is in the process of obtaining, one of the following degrees with the expectation it will be obtained on or before the scheduled start date:
- Bachelor’s in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related quantitative field) plus 9 years of data analytics experience
- Master’s in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, )
At least 4 years of experience leveraging open source programming languages for large scale data analysis
At least 4 years of experience working with machine learning
At least 4 years of experience utilizing relational databases

Technologies

Python, Conda, AWS, H2O, Spark, Scala, R

Preferred qualifications

Extensive multi-project experience leading data science solutions within payments, financial services, or fintech
At least 1 year of experience working with AWS
At least 3 years of experience managing people
At least 5 years of experience in Python, Scala, or R for large scale data analysis
At least 5 years of experience with machine learning

Ideal candidate profile

Leader: challenges conventional thinking, partners with stakeholders to improve the status quo, and is passionate about talent development
Innovative: researches and evaluates emerging technologies and stays current on state-of-the-art methods and applications
Creative: brings structure to large, undefined problems and shares new ideas
Technical: comfortable with open-source languages and hands-on with data science solutions using open-source tools and cloud computing platforms

Compensation & benefits

Salary: USD 244,700 - 279,200 per year
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Minimum experience: 4 years.

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27d ago

Senior Director, Data Scientist - Global Payment Network

Information Technology Senior Management Forum Riverwoods, IL

Riverwoods, IL

27d ago

$286k - $327k/yr Full time Manager Big Data Bigdata

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Job Description

The Senior Director, Data Scientist will lead data science initiatives for the Global Payment Network, working closely with cross-functional partners to build and deploy machine learning solutions on large-scale datasets. The position is onsite in Riverwoods, IL and focuses on customer-focused decision-making across the full model lifecycle.

Key Responsibilities

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-focused outcomes
Use a broad technology stack, including Python, Conda, AWS, H2O, Spark, and other tools, to extract insights from large volumes of numeric and textual data
Develop machine learning models through design, training, evaluation, validation, and implementation
Translate technical work into actionable business goals using strong interpersonal communication

Required Qualifications

Bachelor’s degree plus 10 years of experience in data analytics, or Master’s degree plus 8 years of experience in data analytics, or PhD plus 5 years of experience in data analytics
At least 4 years of experience with open source programming languages for large-scale data analysis
At least 4 years of experience with machine learning
At least 4 years of experience with relational databases

Preferred Qualifications

PhD in a STEM field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
At least 1 year of experience working with AWS
At least 5 years of experience managing people
At least 5 years of experience with Python, Scala, or R for large-scale data analysis
At least 5 years of experience with machine learning

Technologies

Python, Conda, AWS, H2O, Spark
Open-source programming languages
Relational databases
Scala, R
Cloud computing platforms

Ideal Candidate Profile

Customer-first: Focused on making the right decisions for customers
Innovative: Researches and evaluates emerging technologies and state-of-the-art methods for practical application
Creative problem-solver: Builds clarity for large, undefined problems and contributes new ideas
Leadership mindset: Challenges conventional approaches, works with stakeholders to improve current practices, and supports talent development
Technical depth: Comfortable with open-source tools and cloud computing platforms for hands-on data science solution development
Statistically minded: Experienced in building, validating, and backtesting models, including interpretation of confusion matrices and ROC curves, with experience across clustering, classification, sentiment analysis, time series, and deep learning
Data fluency: Capable of retrieving, combining, and analyzing data across different sources and structures

Compensation, Locations, and Incentives

Salary: USD 286,200 - 326,700 per year for the Riverwoods, IL onsite location.

McLean, VA: $314,800 - $359,300 (Sr Dir, Data Science)
New York, NY: $343,400 - $392,000 (Sr Dir, Data Science)
Riverwoods, IL: $286,200 - $326,700 (Sr Dir, Data Science)
Chicago, IL: $286,200 - $326,700 (Sr Dir, Data Science)

Incentive compensation: Eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives may be discretionary or non-discretionary depending on the plan.

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27d ago

Senior Director, Data Scientist - Global Payment Network

Capital One Riverwoods, IL

Riverwoods, IL

27d ago

$286k - $327k/yr Full time Big Data Data Data Analytics

Apply Now

Job Description

Capital One’s Global Payment Network is built on data-driven decision making, and this Senior Director role leads data science efforts that help turn large-scale records into actionable insights. You will partner closely with cross-functional teams while applying machine learning and computing technologies across the full model lifecycle, from design through evaluation, validation, and implementation.

What you’ll do

Collaborate with a cross-functional team of data scientists, software engineers, and product managers to help deliver a product customers love
Use a broad technology stack, including Python, Conda, AWS, H2O, Spark, and more, to uncover insights within large volumes of numeric and textual data
Develop machine learning models through all development phases: design, training, evaluation, validation, and implementation
Translate complex technical work into tangible business goals

Requirements

Education and experience: Bachelor’s degree plus 10 years of experience in data analytics, or Master’s degree plus 8 years, or PhD plus 5 years
Open source at scale: at least 4 years of experience using open source programming languages for large-scale data analysis
Machine learning: at least 4 years of experience with machine learning
Relational databases: at least 4 years of experience with relational databases

Technology focus

Python, Conda, AWS, H2O, Spark
Open-source languages, including Scala and R
Relational databases

Benefits

Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits to support your total well-being

Compensation and location

Riverwoods, IL (onsite): USD 286,200 - 326,700 per year

Additional statements

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
Applications are expected to be accepted 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 applicable laws regarding criminal background inquiries
If you need an accommodation when applying, contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com
For technical support or questions about Capital One’s recruiting process, email Careers@capitalone.com
Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site

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1mo ago

Director, Data Scientist - Global Payment Network

Capital One Riverwoods, IL

Riverwoods, IL

1mo ago Closed

$210k - $239k/yr Full time Manager Artificial Intelligence Big Data

This position is no longer accepting applications (closed Oct 31, 2026).

Job Description

Lead data science and machine learning efforts for scalable intelligence across the payments ecosystem.

Responsibilities

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-focused products
Apply a broad technology stack including Python, Conda, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data
Develop machine learning models across the full lifecycle: design, training, evaluation, validation, and implementation
Translate technical work into tangible business goals using strong interpersonal and communication skills

Requirements

One of the following education plus analytics experience (degree expected by the scheduled start date): Bachelor’s in a quantitative field plus 9 years of experience performing data analytics
One of the following education plus analytics experience (degree expected by the scheduled start date): Master’s in a quantitative field, or an MBA with quantitative concentration, plus 7 years of experience performing data analytics
One of the following education plus analytics experience (degree expected by the scheduled start date): PhD in a quantitative field plus 4 years of experience performing data analytics
At least 4 years leveraging open source programming languages for large scale data analysis
At least 4 years working with machine learning
At least 4 years utilizing relational databases

Technology

Python, Conda, AWS, H2O, Spark
Open-source languages, relational databases, Scala, R

Team

The Global Payment Network Data Solutions and Modeling team builds machine learning and AI agents to deliver foundational, scalable intelligence for smarter business decisions across the payments ecosystem
Creates models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence, and monitoring

Preferred Qualifications

Extensive multi-project experience leading data science solutions in payments, financial services, or fintech
At least 1 year of experience working with AWS
At least 3 years of experience managing people
At least 5 years of experience in Python, Scala, or R for large scale data analysis
At least 5 years of experience with machine learning

Role Location & Compensation

Location: Riverwoods, IL (onsite)
Salary: USD 209,500 - 239,100 per year

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4mo ago

Senior Data Analyst - Global Payment Network

Capital One Riverwoods, IL

Riverwoods, IL

4mo ago Closed

$101k - $115k/yr Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Join Capital One's Global Payment Network analytics team in Riverwoods, IL, on a hybrid schedule, and tap into a benefits-forward environment that values innovation, business intelligence, and data governance. This role centers on building data solutions, dashboards, and governance workflows in AWS, with a culture that emphasizes collaboration, self-service analytics, and data quality. You will benefit from health and financial benefits, plus performance-based incentives that recognize contributions to business outcomes.

Responsibilities

Leverage open source and digital technologies to mine complex, large-scale data from diverse sources and platforms
Design and deliver well-managed data solutions, tools, and capabilities that enable self-service analytics for data consumers
Rapidly explore and adopt new technologies to drive multiple initiatives forward
Partner with the business to translate needs into tools, techniques, metrics, and dashboards for insights and visualization
Lead analyses that inform and shape business strategies
Promote and ensure adherence to data quality management principles, including metadata, lineage, and business definitions
Collaborate with technology teams to manage security mechanisms and data access governance
Develop and deploy tools to monitor and report on data quality

Requirements

Currently pursuing or possessing a Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) with at least 2 years of data analytics experience; or pursuing a Master’s degree with expected completion by the start date
At least 1 year of experience working with at least one scripting language
At least 1 year of experience using a business intelligence visualization tool
At least 1 year of experience querying, analyzing, and working with data languages and platforms

Technologies

Python
R
Spark
SQL
AWS
Informatica DQ

Benefits

Health benefits
Financial benefits
Incentives (performance-based incentive compensation, including cash bonuses and/or long term incentives)

Our ideal candidate will have

A degree in a Science, Technology, Engineering, or Mathematics discipline
Scripting experience in Python, R, Spark, and SQL
A strong interest in data in diverse forms, including data warehouses/SQL and unstructured data
Experience using and building within AWS services

Basic qualifications

Currently pursuing or possessing a Bachelor’s degree in a quantitative field with at least 2 years of data analytics experience; or pursuing a Master’s degree with anticipated completion by the start date
At least 1 year of experience with at least one scripting language
At least 1 year of experience using a BI visualization tool
At least 1 year of experience querying, analyzing, and working with data languages and platforms

Preferred qualifications

Master’s degree in a STEM discipline
At least 2 years of experience coding in Python, R, Spark, or SQL
At least 2 years of experience with process management and improvement methodologies such as Agile, Lean, or Six Sigma
At least 1 year of experience using AWS services
At least 1 year of experience with data governance and data quality concepts and tools (for example Informatica DQ)

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5mo ago

Senior Data Analyst, Global Payment Network - MIS

Capital One Riverwoods, IL

Riverwoods, IL

5mo ago Closed

$101k - $127k/yr Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Jun 16, 2026).

Job Description

This senior data analyst role supports Capital One's Global Payment Network MIS by building and maintaining robust data solutions to address business needs.

Responsibilities

Use Open Source and digital technologies to mine complex, voluminous, and diverse data sources and platforms.
Build well-managed data solutions, tools, and capabilities to enable self-service data consumption for users.
Demonstrate the ability to explore and quickly grasp new technologies to advance multiple initiatives.
Collaborate with business partners to translate needs into tools, metrics, and dashboards for insights and data visualization.
Drive analyses that yield meaningful insights to inform business strategies.
Support data quality management principles including metadata, lineage, and business definitions.
Work with Tech teams to manage security controls and data access governance.
Develop and run tools to monitor and report on data quality.

Requirements

Education: Master’s degree in a quantitative field is required or in progress with completion expected by the start date; or a Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) with at least 2 years of data analytics experience.
At least 1 year of experience with at least one scripting language.
At least 1 year of experience using a business intelligence visualization tool.
At least 1 year of experience querying, analyzing, and working with data languages and platforms.

Technologies

Python
R
Spark
SQL
Snowflake

Benefits

Health benefits
Financial benefits
Other benefits
Performance-based incentive compensation

Salary

McLean, VA: $111,200 - $126,900
Richmond, VA: $101,100 - $115,400
Riverwoods, IL: $101,100 - $115,400
Chicago, IL: $101,100 - $115,400
This role is eligible for performance-based incentive compensation, which may include cash bonuses and long-term incentives. Incentives can be discretionary or non-discretionary depending on the plan.
Candidates hired in other locations will receive the pay range associated with that location; the actual offer will be stated in the offer letter.

Location

Riverwoods, IL (hybrid)

Type

Full-time

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Data Jobs in Riverwoods, IL

Principal Data Analyst - Risk Product Data

Director, Data Scientist - Global Payment Network

Senior Director, Data Scientist - Global Payment Network

Senior Director, Data Scientist - Global Payment Network

Director, Data Scientist - Global Payment Network

Senior Data Analyst - Global Payment Network

Senior Data Analyst, Global Payment Network - MIS

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