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Mathematical Optimization Jobs in California (NOW HIRING)

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 ...

Senior Modeling & Optimization Engineer

Brisbane, CA · On-site

$125K - $172K/yr

... mathematical optimization, statistical modeling, or applied data science. • Ability to design experiments, analyze data, and communicate insights clearly to technical and non-technical audiences ...

Experience with at least two of: discrete-event simulation, mathematical optimization, statistical modeling, or applied data science. * Range, and an appetite for it: this role flexes across analysis ...

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Mathematical Optimization information

See California salary details

$15.8K

$55.1K

$100.7K

How much do mathematical optimization jobs pay per year?

As of Jul 29, 2026, the average yearly pay for mathematical optimization in California is $55,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $71,600.00 per year, depending on experience, location, and employer.

What is a Mathematical Optimization job?

A Mathematical Optimization job involves using mathematical techniques and algorithms to find the best possible solution to a given problem while satisfying constraints. Professionals in this field work in industries like finance, logistics, engineering, and artificial intelligence to optimize processes, minimize costs, or maximize efficiency. They use tools like linear programming, integer programming, and machine learning to solve complex decision-making problems.

What are some typical projects or problems tackled by professionals in Mathematical Optimization?

Professionals in Mathematical Optimization often work on projects involving resource allocation, supply chain management, scheduling, logistics, network design, or financial portfolio optimization. They use mathematical models to define and solve problems where the objective is to maximize efficiency or minimize costs under various constraints. Work may include collaborating with cross-functional teams to gather requirements, analyze large datasets, develop optimization algorithms, and implement solutions within existing business systems. These roles are found across industries such as manufacturing, transportation, finance, and technology, providing diverse and challenging opportunities. This variety in project scope allows for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive in the Mathematical Optimization position, and why are they important?

To thrive in Mathematical Optimization, you need a strong background in mathematics, statistical modeling, and algorithm development, often supported by a degree in mathematics, operations research, engineering, or related fields. Proficiency with programming languages such as Python, MATLAB, or specialized optimization software (like Gurobi, CPLEX, or AMPL) is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are critical soft skills for this role. These skills enable professionals to design effective solutions, interpret results, and convey recommendations to both technical and non-technical stakeholders.

What are the most commonly searched types of Mathematical Optimization jobs in California? The most popular types of Mathematical Optimization jobs in California are:
What are popular job titles related to Mathematical Optimization jobs in California? For Mathematical Optimization jobs in California, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization jobs in California look for? The top searched job categories for Mathematical Optimization jobs in California are:
What cities in California are hiring for Mathematical Optimization jobs? Cities in California with the most Mathematical Optimization job openings:
Infographic showing various Mathematical Optimization job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 68% Full Time, 28% Part Time, 2% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $55,064 per year, or $26.5 per hour.

Sr Applied Scientist - Allocation Optimization - Remote

Cystems Logic Inc

San Jose, CA • Remote

Contractor

Posted 5 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