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Mathematical Optimization Remote Jobs (NOW HIRING)

Gurobi Optimization

Senior MIP Developer (Global Remote)

$55.75 - $73.75/hr

A mission that focuses on mathematical optimization. We empower our customers to expand their use ... Content with operating from a home office in a remote work environment. * Flexible and willing to ...

Gurobi Optimization

Corporate Tax Manager (USA - Remote)

$117K - $157K/yr

A mission that focuses on mathematical optimization. We empower our customers to expand their use ... Willingness and satisfaction in working from a home office in a remote work environment. * Ability ...

Brooksource

Lead DS- Remote

Miami, FL · On-site +1

$90 - $100/hr

Remote Compensation: $90-$100 hourly Job Type: Long Term Contract Job Summary We are seeking a Lead ... Design and implement mathematical optimization frameworks for pricing strategies. * Partner with ...

Intersect

Optimization Engineer

$217K - $237K/yr

... our flexible remote culture. About This Role Intersect is building the integrated energy ... mathematical foundation. * Strong knowledge of energy systems, wholesale power markets, or power ...

Intersect

Optimization Engineer

Charleston, WV · Remote

$217K - $237K/yr

... our flexible remote culture. About This Role Intersect is building the integrated energy ... mathematical foundation. * Strong knowledge of energy systems, wholesale power markets, or power ...

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Mathematical Optimization Remote information

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How much do mathematical optimization remote jobs pay per year?

As of Jul 31, 2026, the average yearly pay for mathematical optimization remote in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote mathematical optimization roles, and how can they be addressed?

Remote mathematical optimization professionals often encounter challenges such as limited real-time collaboration with team members, managing complex problem-solving tasks independently, and ensuring effective communication of technical findings to non-technical stakeholders. To address these challenges, it's helpful to establish regular virtual meetings, use collaborative tools for sharing code and results, and develop clear documentation. Additionally, proactively seeking feedback and staying engaged with the broader team can help maintain alignment and foster innovation.

What is a Mathematical Optimization Remote job?

A Mathematical Optimization Remote job involves using mathematical techniques and algorithms to solve optimization problems, such as maximizing efficiency or minimizing costs, while working from a remote location. Professionals in this field apply optimization theory, modeling, and computational methods to real-world problems in industries like logistics, finance, engineering, and data science. Remote roles allow for flexibility, enabling collaboration with teams and clients online while leveraging specialized software and programming languages such as Python, MATLAB, or R.

What is the difference between Mathematical Optimization Remote vs Data Analyst Remote?

AspectMathematical Optimization RemoteData Analyst Remote
Required CredentialsDegree in Mathematics, Operations Research, or related field; proficiency in optimization softwareDegree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with teams on complex modeling projectsRemote, focused on data collection, visualization, and reporting
Industry UsageFinance, logistics, supply chain, tech companiesMarketing, finance, healthcare, tech companies
Common Search/ComparisonYesNo

Mathematical Optimization Remote specialists focus on developing algorithms to optimize processes and decision-making, often requiring advanced mathematical skills. Data Analysts Remote interpret data to provide insights, using statistical tools. While both roles are remote and involve data, they differ in technical focus and industry applications.

What are the key skills and qualifications needed to thrive as a Mathematical Optimization Specialist working remotely, and why are they important?

To thrive as a Mathematical Optimization Specialist in a remote setting, you need a strong background in mathematics, operations research, or computer science, often supported by an advanced degree. Proficiency with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python or R, and familiarity with cloud-based collaboration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills help you stand out when collaborating with distributed teams and stakeholders. These skills and qualities are crucial for efficiently developing, implementing, and explaining optimization solutions in a remote work environment.
More about Mathematical Optimization Remote jobs
What cities are hiring for Mathematical Optimization Remote jobs? Cities with the most Mathematical Optimization Remote job openings:
What are the most commonly searched types of Mathematical Optimization jobs? The most popular types of Mathematical Optimization jobs are:
What states have the most Mathematical Optimization Remote jobs? States with the most job openings for Mathematical Optimization Remote jobs include:
What job categories do people searching Mathematical Optimization Remote jobs look for? The top searched job categories for Mathematical Optimization Remote jobs are:
Mathematical Optimization Remote jobs near you
Infographic showing various Mathematical Optimization Remote job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 66% Full Time, 31% Part Time, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Sr Applied Scientist - Allocation Optimization - Remote

Cystems Logic Inc

San Jose, CA • Remote

Contractor

Posted 7 days ago

Job description

Job Description

Hi,

Job Title: Sr Applied Scientist - Allocation Optimization

Location: Irvine, CA and remote acceptable too

Duration: 9 months Contract 

We have below longterm job opening.

If you are interested , Please send your updated resume with below details. 

Your current location:

Visa status:

Availability:

Expected rate all inc on c2c /1099 :

Scope:

Hands-on mathematical optimization for regional store allocation

Extend existing constraint-based, multi-objective allocation framework to new regional store configurations

Adapt models to regional business rules (store capacity, presentation minimums, lead times, clearance logic)

Model retraining and tuning per region as stores come online

Support explainability outputs for regional business teams

Required:

Mathematical optimization (linear programming, constraint satisfaction, multi-objective)

Python (PuLP, OR-Tools; Gurobi familiarity a plus)

Retail inventory allocation and replenishment logic

SageMaker, Lambda integration

Comfortable in a federated data architecture (central model code, regional data)

Preferred:

Operations research background

Experience scaling optimization models across geographies

Additional Information

All your information will be kept confidential according to EEO guidelines.

Cystems Logic logo

About Cystems Logic

Sourced by ZipRecruiter

Cystems Logic Inc. is one of the fastest growing companies in California. We have our headquarters in Los Angeles, California along with presence across the globe. After getting a huge success in various markets and a great response from our customers, we diversified into several business verticals, processes, and niches. Now the customers hire Cystems Logic to get our unmatchable assistance in different sectors like Enterprise Solutions (SAP, Oracle, Taleo, Peoplesoft, Saleforce, Cloud), Internet of Things (IOT, Connected Operations), Healthcare Solutions, Telecom Solutions, Banking Solutions, IT Services (IT/Non-IT Staffing). We are further diversified within each industry domain where our customers can choose and utilize to map their needs. We believe in quality and that is what we provide. We have a clientele in leading companies belonging to sectors like IT, Non-IT, 4G, 5G testing, SAP, Oracle Solutions, Software, Telecom and Healthcare across the USA. We treat our clients with utmost integrity and they want to be in a long-term association based on trust & mutual respect.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Beverly Hills, CA, US

Year founded

2006

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