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Optimization Algorithms Jobs in Illinois (NOW HIRING)

Stay ahead of search and AI algorithm shifts, testing new approaches to keep Culligan competitive ... Skills * 5+ years in SEO and content strategy, with demonstrated ownership of organic growth.

New

Stay ahead of search and AI algorithm shifts, testing new approaches to keep Culligan competitive ... Skills * 5+ years in SEO and content strategy, with demonstrated ownership of organic growth.

New

Senior AI Engineer

Chicago, IL · On-site

$110K - $185K/yr

Create optimization algorithms that continuously improve routing decisions based on real-time feedback loops. (Execute/Lead) * Develop proprietary techniques for model evaluation that provide ...

Senior AI Engineer

Chicago, IL · On-site

$110K - $185K/yr

Create optimization algorithms that continuously improve routing decisions based on real-time feedback loops. (Execute/Lead) * Develop proprietary techniques for model evaluation that provide ...

$115K - $135K/yr

Familiarity with optimization algorithms. * Experience supporting both new product development and sustaining engineering activities. What we offer you: Typical pay is $115,000 - 135,000 annually.

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of ...

Engineer II, Software

Niles, IL

$98K - $134K/yr

From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of ...

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of ...

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of ...

Algorithmic bid platform and manual bidding strategy and optimization * Test ideation, planning, and management * Custom analysis,reportingandinsights * Creative management and trafficking execution

Showing results 41-60

Optimization Algorithms information

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

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Data Scientist II - Data Algorithms & Optimization

Jobtailor

Peoria, IL • On-site

$110 - $160/hr

Other

Posted 4 days ago


Job description

Responsibilities
  • Design, develop, and maintain advanced analytical models, including machine learning and statistical approaches, to support digital products and enterprise initiatives.
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
  • Partner with cross‑functional teams to define analytical requirements and translate business questions into data science solutions.
  • Support data quality initiatives by validating data sources, identifying gaps, and recommending improvements.
  • Communicate insights and model results clearly to technical and non‑technical stakeholders.
  • Contribute to continuous improvement of analytics tools, methodologies, and best practices within Cat Digital.
Requirements
  • Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree.
  • Extensive hands‑on experience: applying Python programming to solve business challenges.
  • Advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
  • Practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
  • Working with generative AI, with an understanding of strengths, limitations, and responsible use considerations.
  • Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
  • In‑depth technical and problem‑solving skills and evidence of continuous learning in the analytics field.
  • Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.).
  • Advanced experience with version control / repositories such as GitHub.
  • Experience operating in an Agile environment.
  • Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
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