Data Analytics Data Scientist Chicago, IL

Data Analytics Scientist Jobs in Chicago, IL

3 jobs found

Include remote jobs

24d ago

Data Scientist

Caterpillar Chicago, IL

Chicago, IL

24d ago

$98k - $158k/yr Full time Artificial Intelligence Cloud Data Warehouse Cloud Operations

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Job Description

Caterpillar is looking for a Data Scientist to join the Advanced Diagnostics team within Cat Digital’s Analytics & Applied AI organization. This Chicago, IL (onsite) role applies advanced analytics, including machine learning and causal inference, to help enable improved service experiences through collaboration with Cat Digital and Global Service business teams.

What you’ll do

Work as a technical individual contributor on a small, multi-person analytics team, with methods and results reviewed by the technical project leader.
Balance independent execution with teamwork, including autonomy to lead specific project tasks and collaborate on larger challenges.
Apply expertise in data cleaning, quantitative analytic methods, and modeling to address complex problems.
Use machine learning, statistical modeling, and causal inference to generate insights, optimize outcomes, and deliver measurable business value.
Become familiar with Caterpillar’s processes, products, governance, and organization.
Meet delivery expectations by refining solutions for complex situations, making timely decisions, and communicating effectively with the technical project leader, manager, and business partners.

What you’ll have

Analytical thinking to determine root causes of organizational problems and develop alternative solutions.
Exploratory data analysis skills to identify patterns, trends, and insights in complex datasets, including data mining and cleaning; writing, debugging, and implementing queries across multiple tables or databases.
Machine learning knowledge, including the ability to develop, implement, and deliver systems, products, and services; experience with machine learning initiatives such as classification, regression, or optimization.
Programming proficiency with SQL, Python, and statistical or mathematical software packages.
Collaboration and communication experience working with cross-functional teams to provide data-driven insights.

Required experience

Bachelor’s degree with 5+ years of proven technical data science experience, or Master’s degree with 3+ years of proven technical data science experience (preferably with quantitative coursework).
Experience using Python for data analysis and modeling, including Jupyter Notebooks and common libraries/packages.
Experience with Git (version control).
Experience with SQL and NoSQL database technologies.
Practical experience processing large quantities of detailed information with high accuracy.
Practical cloud computing experience for building solutions in cloud environments (for example, AWS and Snowflake).
Experience productionizing predictive and/or prescriptive analytics solutions and machine learning models.
Experience applying advanced data analysis and statistical techniques, including classification, regression, clustering, collaborative filtering, and hypothesis testing.
Experience developing and implementing natural language processing (NLP) algorithms and models for insights from textual data.
Strong technical and problem-solving skills with continual learning, including initiative to research and apply new methods.
Strong communication skills to explain conclusions to technical leaders, managers, and business partners.
Experience operating in an Agile environment with ownership and the ability to complete tasks.
Experience with API development to integrate with digital applications and efficiently extract and process data.
Ability to work independently with strong attention to detail and focus on delivering customer-through-business-partner requirements.
Interest in emerging AI and GenAI techniques and willingness to continuously learn and adapt.

Tools and technologies

Python, SQL, Jupyter Notebooks, Git
NoSQL, AWS, Snowflake
NLP, GenAI, API development

Compensation & posting details

Salary range: USD 97,530 - 158,480 per year.

Visa Sponsorship is not available for this position.
Posting dates: August 13, 2026 - August 23, 2026.
Any offer of employment is conditioned upon the successful completion of a drug screen.

Benefits

Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement

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24d ago

Principal Data Scientist

BMO Financial Chicago, IL

Chicago, IL

24d ago

$122k - $228k/yr Full time Ai Ml Analytics Artificial Intelligence

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Job Description

The Principal Data Scientist at BMO Financial Group applies advanced analytical algorithms and big data and AI to uncover value in both structured and unstructured information. This hybrid role is based in the Chicago office and focuses on building predictive, machine learning, and deep learning models that support business decision-making across the organization.

In this position, you will shape modeling and data processes, scale analytics solutions with partner teams, and contribute to evolving data strategies tied to consumer trends and business outcomes. The salary range for this salaried role is USD 122,400 - 228,000 per year.

What you’ll do

Use machine learning, deep learning, and artificial intelligence to mine and analyze large volumes of structured and unstructured data for actionable insights.
Design and construct new approaches for modeling data.
Develop predictive models and use big data technology to deliver solutions that improve business decision quality, customer experience, and productivity.
Collaborate with data and analytics professionals to optimize, refine, and scale analytics into mature solutions.
Contribute to innovative data strategies focused on understanding consumer trends and addressing business problems.
Work with the product team and partners to support data-driven decision-making, business planning, and future roadmap discussions.
Partner with data scientists and stakeholders to identify data and modeling needs and develop solutions aligned to those needs.
Design, build, and maintain large-scale data pipelines to support reporting, analysis, and machine learning/deep learning models.
Conduct large-scale analysis to identify patterns and trends by combining modules and algorithms.
Develop machine learning and deep learning models and investigate additional technologies and tools for innovative data solutions.
Use analysis to provide recommendations and guidance to business leaders for maintaining market competitiveness.
Role-model BMO values and behaviors, connect work to BMO’s purpose, set inspirational goals, define expected outcomes, and ensure accountability for follow-through.
Ensure alignment between values and behaviors that supports diversity and inclusion.

What you bring

5+ years of data science experience.
An advanced degree (with PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or a related quantitative field.
In-depth knowledge of machine learning and deep learning models, including examples such as XGBoosting, LSTM, and LLM.
Experience with GenAI LLM models.
Trust, bias, and ethics awareness.
Experience with MLOps, including building workflows for model retraining, monitoring, and deployment.
Experience with machine learning frameworks such as TensorFlow and PyTorch.
Experience with cloud-based data platforms such as AWS or Azure.
Data visualization and polished communication skills, including experience with Power BI.
Collaboration and team skills with a focus on cross-group collaboration.
Ability to manage ambiguity and make data-driven decisions.

Technologies

Machine learning, deep learning, artificial intelligence
XGBoosting, LSTM, LLM
GenAI LLM models
MLOps
TensorFlow, PyTorch
AWS, Azure
Power BI

Benefits

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Performance-based incentives, discretionary bonuses, and other perks and rewards

Job family group: Data Analytics & Reporting
Pay type: Salaried
Location: Chicago, IL (hybrid)

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26d ago

Data Scientist

PayPal Chicago, IL

Chicago, IL

26d ago

$97k - $180k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

PayPal is hiring a Data Scientist in Chicago, IL (hybrid) to analyze large datasets, develop and evaluate statistical and machine learning models, and improve fraud and portfolio outcomes.

Responsibilities

Analyze and process large datasets using statistical software.
Use sampling approaches to define groups for study or apply complete enumeration methods.
Build, compare, and evaluate statistical and machine learning models using performance metrics.
Apply mathematical principles and statistical methods to address scientific and applied problems.
Analyze business and financial data to identify and resolve operational issues.
Identify trends and relationships among variables across datasets.
Work across a portfolio of projects including card risk strategies, acquisition, and payment risk strategies.
Partner with stakeholders across Credit Risk, Product, and Engineering to optimize fraud strategies and portfolio performance.
Analyze and assess emerging fraud trends and propose mitigation strategies.
Maintain and develop Monitoring and Alerting capabilities to monitor CBMC program health and simplify insights for key stakeholders.
Provide regular updates to senior leaders on Portfolio Health, highlights, lowlights, and actionable insights.
Own end-to-end management of fraud loss and decline rates.
Collaborate with cross-functional teams to develop fraud prevention and loss-saving strategies and optimize transaction declines.
Produce periodic KPI reports summarizing business units’ risk and control environment for senior management.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Engineering, Management Information Systems, or a closely related field plus two (2) years of experience in the job offered or a related occupation.
2 years of experience with basic analytics.
2 years of experience in fraud risk management within the financial services industry.
2 years of experience writing SQL queries to analyze large datasets.
2 years of experience building interactive dashboards and visual reports using Tableau.
2 years of experience using MS Excel and Pivot Tables to create analytical views and summarize data.
2 years of experience using visualization tools to communicate analytical insights.
1 year of experience applying machine learning methods.
1 year of experience applying data science techniques to solve real-world problems.
1 year of experience using Python to analyze large datasets.
Legally authorized to work in the U.S. without sponsorship.

Technologies

SQL
Tableau
MS Excel
Pivot Tables
Python

Benefits

Comprehensive, choice-based programs to support personal wellbeing across physical, emotional, and financial needs.
Generous paid time off.
Healthcare coverage for you and your family.
Resources to support financial security and mental health.

Location and Pay Range

Chicago, IL (hybrid)
Salary: $96,928.00 to $180,000.00 per year
Schedule: 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Travel: 0%

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Data Analytics Scientist Jobs in Chicago, IL

Data Scientist

Principal Data Scientist

Data Scientist

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