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Cplex Linear Programming Jobs (NOW HIRING)

... such as ILOG CPLEX, Gurobi, Autosched, and similar platforms. Database management systems ... Foundation in Operations Research (OR) methodologies, Linear Programming, Integer Programming, and ...

Operations Research Engineer

Phoenix, AZ · On-site

$128K - $211K/yr

... such as ILOG CPLEX, Gurobi, Autosched, and similar platforms. Database management systems ... Foundation in Operations Research (OR) methodologies, Linear Programming, Integer Programming, and ...

Operations Research Engineer

Folsom, CA · On-site

$128K - $211K/yr

... such as ILOG CPLEX, Gurobi, Autosched, and similar platforms. Database management systems ... Foundation in Operations Research (OR) methodologies, Linear Programming, Integer Programming, and ...

Operations Research Engineer

Phoenix, AZ · On-site

$128K - $211K/yr

... such as ILOG CPLEX, Gurobi, Autosched, and similar platforms. Database management systems ... Foundation in Operations Research (OR) methodologies, Linear Programming, Integer Programming, and ...

... Linear Programming, Meta-Heuristics) and Machine Learning techniques, * Strong proficiency in programming languages including Python and SQL. * Experience with mathematical solver, such as CPLEX or ...

... programming algorithms like linear programming, MIP, discrete optimization etc. * Present ... Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB. * Highly proficient in all Microsoft Office ...

Operations Research Engineer

Atlanta, GA · On-site

$66K - $90K/yr

... linear programming, integer programming, stochastic modeling). * Strong programming skills in languages such as Python, C++, or Java. * Experience with optimization solvers (e.g., Gurobi, CPLEX) and ...

... programming algorithms like linear programming, MIP, discrete optimization etc. * Present high ... Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB * Highly proficient in all Microsoft Office ...

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How much do cplex linear programming jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for cplex linear programming in the United States is $30.96, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $34.86 per hour, depending on experience, location, and employer.

What is CPLEX linear programming?

CPLEX Linear Programming refers to the use of IBM's CPLEX Optimizer software to solve linear programming (LP) problems. Linear programming is a mathematical technique used to optimize a linear objective function, subject to linear equality and inequality constraints. CPLEX is widely used in industries for tasks such as resource allocation, production planning, and scheduling because of its efficiency and ability to handle large-scale optimization problems. Users can interact with CPLEX through programming APIs, modeling languages, or graphical interfaces.

What are the key skills and qualifications needed to thrive as a CPLEX linear programming specialist?

To excel as a CPLEX Linear Programming Specialist, you need a solid background in mathematical optimization, operations research, and proficiency in linear programming concepts, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with IBM ILOG CPLEX Optimization Studio, relevant programming languages (such as Python or Java), and experience with modeling languages like OPL are essential. Strong analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey solutions effectively to stakeholders. These skills and qualifications are crucial for creating efficient optimization models that drive decision-making and operational improvements in various industries.

What types of projects or industries commonly require professionals skilled in CPLEX linear programming, and how does this influence the day-to-day work?

Professionals skilled in CPLEX Linear Programming often work on projects in industries such as logistics, supply chain management, energy, finance, and manufacturing, where large-scale optimization is critical. This means your day-to-day work may involve formulating mathematical models, collaborating with data scientists and business analysts to understand operational constraints, and implementing efficient solutions using CPLEX. You'll frequently interact with cross-functional teams to translate real-world problems into linear programming models and interpret results for decision-making. The diversity of applications ensures exposure to various challenges and provides opportunities for professional growth across multiple sectors.

What is the difference between Cplex Linear Programming vs Operations Research Analyst?

AspectCplex Linear ProgrammingOperations Research Analyst
CredentialsTypically requires a degree in mathematics, computer science, or engineering; certifications in optimization tools are commonRequires a degree in operations research, mathematics, or related fields; often holds certifications in analytics or project management
Work EnvironmentPrimarily uses software tools for modeling and solving optimization problems, often in a technical settingAnalyzes complex systems, develops models, and provides strategic recommendations, often in consulting or corporate settings
Industry UsageUsed in logistics, manufacturing, finance, and technology for optimization tasksApplied across industries like supply chain, healthcare, and government for decision-making and process improvement

While Cplex Linear Programming focuses on solving optimization problems using specific software, Operations Research Analysts apply a broader range of analytical methods to improve organizational efficiency. Both roles require strong analytical skills and familiarity with modeling tools, but their scope and application differ.

Infographic showing various Cplex Linear Programming job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 83% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $64,389 per year, or $31 per hour.

Principal Decision Scientist, Applied Optimization and Simulation 2026 - US, UK

Remote

Aimpoint Digital
51 - 200 employees

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Aimpoint Digital is a premier analytics consulting firm focused on delivering business value through data strategy and analytics. The Principal Decision Scientist will lead projects that utilize optimization, simulation techniques, and machine learning to provide insights and solutions for clients, while also managing client relationships and guiding teams throughout the data science lifecycle.
Responsibilities:
• Focus on enabling clients to get the most out of their data.
• Work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions.
• Define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives.
• Proactively research and apply knowledge within the data science space to deliver best-in-class solutions.
• Lead both small and large teams over the entire data science lifecycle – from problem definition to model automation and deployment.
• Provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself.
• Manage all aspects of client relationships and create value-driving initiatives for the company.
Qualifications:
Required:
• MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field
• Strong theoretical knowledge of optimization techniques, including linear programming and integer programming and/or dynamic programming and graph theory
• Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo
• Practical experience with open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS
• Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy
• Familiar with a broad spectrum of advanced data science techniques, from cutting edge deep learning to time series and natural language processing
• Experience delivering end-to-end data science projects, starting with project plan, through data modelling & data integrity checks to delivering value with explainable results
• Strong analytical and problem-solving skills
• 5+ years of practical data science experience
• Self-starter with excellent communication skills, able to work independently and collaboratively, and lead projects, initiatives, and/or people
Preferred:
• 5+ years of consulting experience
• Familiar with data visualization platforms such as PowerBI, Tableau or Sigma
• Knowledge of any of the following tools is a plus: Databricks, Snowflake, Dataiku, AWS, Sagemaker
• Oil and gas industry experience is a plus
Company:
Aimpoint Digital Provides expertise needed to take analytics at your organization to the next level. Founded in 2017, the company is headquartered in Boston, USA, with a team of 201-500 employees. The company is currently Growth Stage.