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Data Optimisation Jobs in Chicago, IL (NOW HIRING)

AAR

Data Scientist

Wood Dale, IL · On-site

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... Familiarity with production ML practices, including model versioning, performance optimization ...

AAR Corporation

Data Scientist

Wood Dale, IL · On-site

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... Familiarity with production ML practices, including model versioning, performance optimization ...

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

What you'll do: • Building, maintaining, and optimizing batch and ELT pipelines that load data into Google BigQuery and Azure SQL Server • Designing, developing, and testing dbt models - from ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data ... This role advances the mission by optimizing decisions, improving operations, and enhancing guest ...

Zynga, Inc.

Data Analyst

Chicago, IL · On-site

$77K - $114K/yr

Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, by finding statistical causation between campaigns ...

Zynga

Data Analyst

Chicago, IL

$77K - $114K/yr

Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, by finding statistical causation between campaigns ...

Apex Informatics

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Proficiency in writing complex queries, stored procedures, and optimizing SQL Server queries. * Familiarity with SQL Server data migration processes, including handling large datasets, managing data ...

Reyes Holdings

Data Scientist

Rosemont, IL

Understanding of data structures, algorithms, and distributed computing, both for data and optimization * Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

Understanding of data structures, algorithms, and distributed computing, both for data and optimization * Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine ...

Dlapiper

Data Scientist

Chicago, IL · On-site +1

Mines and analyzes data to drive optimization and improvement of product development, marketing techniques and business strategies. * Assesses the effectiveness and accuracy of new data sources and ...

New

Inficare Technologies

Azure Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Support Azure-based data platforms and data products, optimizing models for performance, cost, and future extensibility * Hands on experience in SQL, Python with proficiency in Data pipelines, Data ...

Inizio Evoke

Data Analyst

Chicago, IL · On-site

... optimization • Diminishing return / response curve modeling for investment levels and channel mix efficiency • Competitive intelligence and marketplace assessment • Predictive and exploratory ...

Kforce Technology Staffing

Data Lead

Chicago, IL · On-site

Drive cloud cost optimization through cluster configuration, capacity planning, storage management ... Partner with the Data Governance Lead to translate Enterprise Data Office policies into platform ...

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Showing results 21-40

All JobsData Optimisation JobsData Optimisation Jobs in Chicago, IL

Data Optimisation information

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What are popular job titles related to Data Optimisation jobs in Chicago, IL?

For Data Optimisation jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Optimisation jobs in Chicago, IL look for?

The top searched job categories for Data Optimisation jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Optimisation jobs?

Cities near Chicago, IL with the most Data Optimisation job openings:

Data Optimisation jobs near you

Data Scientist

AAR

Wood Dale, IL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

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

AAR Corp rating

7.8

Company rating: 7.8 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

23rd of 67 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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