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Optimization Algorithms Jobs in Michigan (NOW HIRING)

Sriven Systems Inc.

Data Scientist

Grand Rapids, MI · On-site

Key responsibilities include designing and deploying machine learning models, optimization algorithms, and advanced analytics solutions, collaborating with cross-functional teams, and supporting ...

Perfect Afternoon

SEO Specialist

Pleasant Ridge, MI · On-site

Familiarity with WordPress, Shopify, structured data, site performance, and search engine algorithms is expected. SEO Strategy & Execution Develop and execute SEO strategies that improve organic ...

Perfect Afternoon

SEO Specialist

Pleasant Ridge, MI · On-site

$70K/yr

Familiarity with WordPress, Shopify, structured data, site performance, and search engine algorithms is expected. SEO Strategy & Execution Develop and execute SEO strategies that improve organic ...

Perfect Afternoon

SEO Specialist

Pleasant Ridge, MI

Familiarity with WordPress, Shopify, structured data, site performance, and search engine algorithms is expected. SEO Strategy & Execution Develop and execute SEO strategies that improve organic ...

Optimal Inc.

Senior Optimization Engineer

Warren, MI · On-site

$97K - $134K/yr

... algorithms, surrogate-based optimization, or mixed-integer optimization Experience working with simulation-based engineering tools and computational models Strong programming and problem-solving ...

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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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Infographic showing various Optimization Algorithms job openings in Michigan as of June 2026, with employment types broken down into 5% Internship, 80% Full Time, 5% Part Time, and 10% Contract. Highlights an 50% In-person, and 50% Remote job distribution.
Data Scientist III (Senior)

Data Scientist III (Senior)

Talent Groups

Grand Rapids, MI • On-site

Other

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

Job description

Supply Chain Data Scientist (Machine Learning & Optimization)Overview / Summary: We are seeking a Data Scientist to design and develop machine learning and optimization models that improve supply chain operations. This role focuses on demand forecasting, inventory optimization, replenishment planning, predictive analytics, and operational optimization across supply chain functions.Key Responsibilities:
  • Design and develop machine learning and optimization models to improve supply chain operations, including demand forecasting, inventory optimization, and replenishment planning.
  • Analyze large datasets from ERP, WMS, TMS, POS, and enterprise systems to identify operational inefficiencies and improvement opportunities.
  • Build predictive models and optimization algorithms for transportation, warehouse operations, workforce scheduling, and supply network planning.
  • Collaborate with business stakeholders, supply chain subject matter experts, and data engineers to translate business requirements into AI-driven solutions.
  • Deploy and monitor scalable machine learning solutions on cloud platforms.
  • Continuously improve key performance indicators, including service levels, inventory costs, and on-time delivery performance.
Required Qualifications:
  • Experience designing and developing machine learning and optimization models for supply chain operations.
  • Experience with demand forecasting, inventory optimization, and replenishment planning.
  • Ability to analyze large datasets from ERP, WMS, TMS, POS, and enterprise systems.
  • Experience building predictive models and optimization algorithms.
  • Ability to collaborate with business stakeholders, supply chain subject matter experts, and data engineers.
  • Experience deploying and monitoring scalable machine learning solutions on cloud platforms.
  • Ability to improve operational KPIs such as service levels, inventory costs, and on-time delivery performance.

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