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Operations Research Optimization Jobs in Georgia

DP World

Process - Industrial Engineer

Fairburn, GA · On-site

... Operations Research , or related field * Experience in logistics, warehousing, or manufacturing environments * Strong background in process design, optimization, and cost savings initiatives

syncreon

Process - Industrial Engineer

Fairburn, GA · On-site

... Operations Research , or related field * Experience in logistics, warehousing, or manufacturing environments * Strong background in process design, optimization, and cost savings initiatives

ResultStack

Sr. Data Scientist

Atlanta, GA

Having Hands-On experience with LLM's, NLP, computer vision, or operations research applied to real ... WHAT YOU'LL WORK ON Route optimization and transit time prediction models Anomaly detection in ...

ResultStack

Sr. Data Scientist

Atlanta, GA · On-site

Having Hands-On experience with LLM's, NLP, computer vision, or operations research applied to real ... WHAT YOU'LL WORK ON Route optimization and transit time prediction models Anomaly detection in ...

ResultStack

Sr. Data Scientist

Atlanta, GA · On-site

Having Hands-On experience with LLM's, NLP, computer vision, or operations research applied to real ... WHAT YOU'LL WORK ON Route optimization and transit time prediction models • Anomaly detection in ...

Fuji Vegetable Oil USA

R&D Scientist

Savannah, GA · On-site

Partner with plant operations to identify opportunities for process optimization and efficiency improvement. * Conduct research to stay informed on industry trends, emerging technologies, and ...

CenExel

Clinical Research Coordinator

Decatur, GA · On-site

$23.75 - $31.50/hr

... operations optimize every step of the clinical trial process ... Along with an exceptional work environment that promotes teamwork, positive leadership, and optimal ...

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Operations Research Optimization information

What is the difference between Operations Research Optimization vs Data Analyst?

AspectOperations Research OptimizationData Analyst
Required CredentialsDegree in Operations Research, Industrial Engineering, or related fields; often certifications in optimization toolsDegree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentAnalytical teams in manufacturing, logistics, or consulting firmsBusiness or corporate settings, focusing on data interpretation and reporting
Industry UsageSupply chain, transportation, manufacturing, logisticsFinance, marketing, healthcare, retail
Common Search/ComparisonOperations Research Optimization vs Data Analyst

Operations Research Optimization focuses on developing mathematical models to improve decision-making processes, often in logistics and manufacturing. Data Analysts interpret and visualize data to support business decisions. While both roles analyze data, Operations Research Optimization emphasizes optimization techniques and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

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What job categories do people searching Operations Research Optimization jobs in Georgia look for? The top searched job categories for Operations Research Optimization jobs in Georgia are:
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Operations Research Optimization jobs near you
Data Scientist - Revenue Management

Data Scientist - Revenue Management

Arconic

Norcross, GA • On-site

Full-time

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

Arconic rating

7.9

Company rating: 7.9 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

146th of 516 rated manufacturers

Job description

Arconic is currently in search of a Data Scientist - Revenue Management to join our Kawneer Business in Norcross, GA.

At Arconic, we take pride in our work and our innovative products and technologies that advance sustainable solutions for a better world. We strive to create a safe, inclusive, and collaborative workplace with competitive benefits, development opportunities and a culture that values and rewards employees on all levels of the organization.

Job Summary:

This role supports the Revenue Management team by building, maintaining, and improving analytical models used for forecasting demand, understanding pricing performance, and identifying revenue opportunities. The emphasis is on learning the business, applying analytics pragmatically, and growing toward more advanced pricing and optimization work.

This is an applied role, not academic research.

You have:

  • Bachelor's Degree in Statistics, Mathematics, Economics, Industrial Engineering, Operations Research, Computer Science or Data Science.

  • 0-2 years of professional experience

  • Internships, research projects, or strong academic work 

  • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at time of hire. Visa sponsorship is not available for this position.

Preferred Qualifications:

  • Master's degree (especially for OR, analytics, or applied economics)

  • Relevant coursework in Forecasting, Econometrics, Optimization, Supply chain or pricing analytics

  • Scikit-learn exposure

  • Data visualization (matplotlib, seaborn, Power BI, Tableau)

  • Git or version control familiarity

In this role, you will:

  • Support demand forecasting and reporting

  • Analyze historical pricing and customer behavior

  • Assist in building and testing pricing or elasticity models

  • Clean, validate, and structure messy transactional data

  • Translate analysis into clear insights for RM managers

  • Gradually take ownership of defined analytical components

Also note:

  • The successful incumbent in this position should know basic statistics: 

    • Mean, variance, regression concepts

    • Correlation vs causation awareness

  • Introductory forecasting concepts: trend, seasonality, moving averages

  • Comfort working with uncertainty and imperfect data

  • This hire must be able to work with data independently, even if models are simple at first.

  • Demonstrated interest in pricing, forecasting and business decision-making.

  • Ability to understand:

    • Why pricing varies by customer / product / time 

    • Trade-offs between volume, price, and margin

  • Can explain analysis in plain English

  • Comfortable asking good questions

  • Willing to challenge assumptions respectfully

Strong attention to detail and data quality

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