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Data Science Machine Learning Jobs in Illinois (NOW HIRING)

ShiftCode Analytics

Senior Machine Learning Engineer

Chicago, IL · On-site

$126.30K - $166.50K/yr

Senior Machine Learning Engineer Description: PURPOSE: At Hyatt, we're working to Advance Care ... This role will work cross-functionally with various data science teams, data engineering teams, and ...

Inmar

Director, Data Science

Chicago, IL

The Director, Data is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and maintain ...

SynergisticIT

Data Scientist - Junior

Chicago, IL · On-site

We assist in filing for STEM extension and also for H1b and Green card filing to Candidates We want Data Science/Machine learning/Data Analyst and Java Full stack candidates For data Science/Machine ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Bachelor's degree in Computer Science, Engineering, Data Science, Machine Learning, or equivalent practical experience. Required Qualifications * Solid hands-on experience with the GCP ecosystem ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Bachelor's degree in Computer Science, Engineering, Data Science, Machine Learning, or equivalent practical experience. Required Qualifications * Solid hands-on experience with the GCP ecosystem ...

SynergisticIT

Data Analyst

Champaign, IL · On-site

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Evozyne

Talent Community | Data Scientist

Chicago, IL · On-site

Undergraduate and/or graduate level education focused on data science, computational biology, bioinformatics, computer science, machine learning, AI, or a similar field * Hands on experience ...

Omni Inclusive

Technical lead (AWS MLOps)

Chicago, IL · On-site

AWS MLOps Data Science Machine Learning, Python Mandatory Skills: DataIKU MLOps (Primary) Data Science Machine Learning Python DatatIKU MLOps certification. Detailed JD: Bachelor's degree in ...

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Data Science Machine Learning information

See Illinois salary details

$36.3K

$118.9K

$190.4K

How much do data science machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for data science machine learning in Illinois is $118,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $131,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What are popular job titles related to Data Science Machine Learning jobs in Illinois? For Data Science Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Science Machine Learning jobs in Illinois look for? The top searched job categories for Data Science Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Data Science Machine Learning jobs? Cities in Illinois with the most Data Science Machine Learning job openings:
Data Science Machine Learning jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

ShiftCode Analytics

Chicago, IL • On-site

$126.30K - $166.50K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Visa: Any Visa
Location: On-site Chicago local preferred
Mode Of Interview: Video Call
Chicago local preferred
Job Posting Title: Senior Machine Learning Engineer
Description: PURPOSE:
At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent - talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners and colleagues.
Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business.
In this role you will design and implement algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product including data ingestion, Client processing, and results delivery/activation. This role will work cross-functionally with various data science teams, data engineering teams, and data architecture teams. The ideal candidate can serve as both solutions architect as well as hands-on implementation engineer and guide the team towards best-in-class algorithmic product implementations.
You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data science.
Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn't just a nice to have, it's a must.
POSITION RESPONSIBILITIES:
• Partner with data scientists to design workflows/architectures that activate Client models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.
• Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.
• Implement and productionize final solutions via infrastructure-as-code pattern.
• Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic.
• Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product.
• Partner with data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact.
• Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering.
• Partner with data architecture, data governance, and security team to ensure solutions meet required standards.
The ideal candidate demonstrates a commitment to Hyatt core values: respect, integrity, humility, empathy, creativity, and fun.
EXPERIENCE AND QUALIFICATIONS:
• 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, hospitality experience not required
• Expertise in AWS cloud services
• Expertise in Python, SQL, PySpark, Docker
• Experience with streaming and batch data architectures at scale
• Experience operating in an Agile Methodology environment.
• Experience with DevOps and CI/CD concepts
• Excellent communication and teamwork skills
• Position will not require customer-facing interactions.

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About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019

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