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At Home Data Scientist Risk Jobs in Illinois (NOW HIRING)

AAR

Data Scientist

Wood Dale, IL · On-site

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... This position is based at our Corporate Headquarters in Wood Dale, IL, with a planned relocation to ...

AAR Corporation

Data Scientist

Wood Dale, IL · On-site

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... This position is based at our Corporate Headquarters in Wood Dale, IL, with a planned relocation to ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site

$138 - $172/hr

Who We Want The Data Scientist II will work closely with Data Science, Product, and Engineering to ... Leave the suit and tie at home; our dress code is casual. * Work in the heart of downtown Chicago ...

Grubhub

Senior Staff Data Scientist

Chicago, IL · On-site

About Grubhub At Grubhub, we believe food is more than just a meal: It's a source of discovery ... Champion business-impact-driven data science, integrating causal inference, experimentation, risk ...

PayPal

Sr Data Scientist

Chicago, IL · On-site

$130.50 - $193.60/hr

Drive best practices in data science. * Ensure data quality and integrity in all processes ... days at your choice of either the PayPal office or your home workspace. Benefits We offer ...

UL Solutions

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that ... At UL Solutions, we help build a better future - one where everyone benefits. Join UL Solutions to ...

AArete

Data Scientist

Chicago, IL · On-site

Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're a global ... AAretians (our team members) are leaders at every level. You are encouraged to unlock your full ...

UL Solutions

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that ... At UL Solutions, we help build a better future - one where everyone benefits. Join UL Solutions to ...

AArete

Data Scientist

Chicago, IL · On-site

Description Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're ... AAretians (our team members) are leaders at every level. You are encouraged to unlock your full ...

Agile Defense

Data Scientist

Scott Air Force Base, IL · On-site

About Agile Defense At Agile Defense we know that action defines the outcome and new challenges ... Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg ...

Intellect Solutions LLC

IL · On-site

As an Intellect Solutions Data Scientist, you will have the opportunity to research, experiment and ... at the command level and align outputs to command operational requirements through web-based ...

Green Thumb

Data Scientist

Chicago, IL · Hybrid

This is a hybrid role and requires in office work 1 day per week every 2 weeks at our office in ... data gaps worth closing, and model architectures worth exploring Analytics Science * Design ...

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All JobsAt Home Data Scientist Risk JobsAt Home Data Scientist Risk Jobs in Illinois

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

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The most popular types of Data Scientist Risk jobs in Illinois are:

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Cities in Illinois with the most At Home Data Scientist Risk job openings:

At Home Data Scientist Risk jobs near you

Data Scientist

AAR

Wood Dale, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

AAR Corp rating

7.8

Company rating: 7.8 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

23rd of 66 rated aviation services

Job description

Description
The AAR Parts Supply Distribution Analytics Team are developing an AI-driven aviation market intelligence tool designed to transform how aviation parts distribution businesses understand market share, identify growth opportunities, and make strategic decisions. This platform combines advanced analytics, machine learning, agentic AI, and intuitive user experience to provide real-time insights into customers, parts, and markets.
The Data Scientist will define, build, and continuously improve the analytical and machine learning models that power the platforms core decision-making capabilities. This role translates complex business problems into scalable, production-ready models that drive market sizing, forecasting, and opportunity identification. The Data Scientist partners closely with product, engineering, and data teams to ensure models are accurate, explainable, and embedded into real-world workflows. Success in this role requires strong technical depth, business intuition, and the ability to operate in ambiguous, data-rich environments.
This position is based at our Corporate Headquarters in Wood Dale, IL, with a planned relocation to the Merchandise Mart (Chicago) in early 2027.
What you will be responsible for:
  • Design, develop, and own scalable analytical and machine learning models for market sizing, forecasting, opportunity identification, and optimization use cases.
  • Translate ambiguous business problems into structured modeling approaches, including feature engineering, model selection, and evaluation frameworks.
  • Design and analyze experiments, statistical tests, and validation methods to measure model quality and business impact.
  • Deploy and integrate models into production systems in collaboration with data engineering and backend teams, ensuring reliability, scalability, and performance.
  • Work with large, complex, and imperfect datasets; define data requirements and support robust preprocessing and feature pipelines.
  • Ensure model outputs are explainable, interpretable, and aligned with business logic to support user trust and adoption.
  • Monitor, validate, and improve model performance through testing, retraining, versioning, and feedback loops.
  • Partners with product teams to define analytical features, influence roadmap decisions, and embed model-driven insights into decision-making workflows.

Qualifications
What you need to be successful in this role:
  • Strong foundation in statistics, machine learning, and predictive modeling, including regression, classification, clustering, time series, and experiment design e.g., AB testing.
  • Proficiency in Python and SQL, with experience using common ML libraries such as scikit-learn, pandas, and numpy.
  • Experience building end-to-end ML workflows, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
  • Familiarity with production ML practices, including model versioning, performance optimization, retraining, and monitoring for drift or degradation.
  • Experience working with large-scale or complex datasets, including handling missing data, inconsistencies, and real-world data limitations.
  • Ability to communicate model logic, assumptions, and outputs clearly to non-technical stakeholders and cross-functional partners.
  • Experience collaborating with product managers, data engineers, and software engineers to deliver analytical features in production environments.
  • Strong problem-solving skills and the ability to operate effectively in ambiguous environments with evolving requirements.
  • Bachelors in data science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field.
  • Master's degree preferred
  • 3 to 5 plus years of experience in data science, machine learning, or advanced analytics roles in a product or business-driven environment.
  • Demonstrated experience developing, deploying, and improving predictive models that drive business decision-making.
  • Experience working on analytics or ML-driven products such as forecasting, optimization, recommendation systems, or market intelligence tools.
  • Experience in designing experiments or statistical validation approaches to evaluate model performance and business outcomes is preferred.
  • Experience with cloud platforms or distributed data processing such as AWS, Azure, or Spark is preferred but not required.
  • Experience in aviation, supply chain, or related industries is a plus but not required.

The rewards of your career at AAR go far beyond just your salary:
  • Competitive salary and bonus package
  • Comprehensive benefits package including medical, dental, and vision coverage.
  • 401(k) retirement plan with company match
  • Generous paid time off program
  • Professional development and career advancement opportunities

Physical Demands/Work Environment:
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• While performing the duties of this job, the employee may be regularly required to sit, stand, bend, reach and move about the facility.
• The environmental characteristic for this position is an office setting.
• Candidates should be able to adapt to a traditional business environment.
AAR provides accommodation in accordance with applicable laws through all stages of the hiring process. If you require accommodation for any part of the application and/or hiring process, please advise Human Resources.
Compensation:
The anticipated salary range for this position is $115,000 to $130,000 annually. This range reflects the base salary for candidates who meet the requirements of the role, including experience, education, and location. In addition to base pay, this role is eligible for a bonus. AAR offers a competitive benefits package, including medical/dental/vision/life/and AD&D insurance, 401(k) savings plan with employer match, paid time off and holiday pay, as well as opportunities for professional development and growth.
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