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Senior Modeling Jobs in California (NOW HIRING)

Senior Modeling & Optimization Engineer

Brisbane, CA · On-site

$125K - $172K/yr

The Senior Modeling & Optimization Engineer will analyze operational data and build simulation models to validate warehouse designs, ultimately supporting customer engagements and influencing product ...

This role sits within the Modeling & Optimization team, the technical and analytical backbone of Mytra's commercial pipeline. M&O's mandate is to make the commercial org continuously better - and a ...

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Senior Modeling information

See California salary details

$24.7K

$79.2K

$161.4K

How much do senior modeling jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior modeling in California is $79,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $101,700.00 per year, depending on experience, location, and employer.

How to get into modeling at an older age?

Senior modeling is possible at any age with a strong portfolio, professional photos, and relevant experience. Building a network, attending open calls, and working with agencies that represent mature models can improve opportunities. Age-specific modeling agencies and niche markets often seek older models for certain campaigns.

Is there a demand for models over 60?

Senior modeling is a growing niche within the fashion and advertising industries, with brands increasingly seeking diverse age representation. Older models over 60 can find opportunities in print, commercial, and runway work, especially as brands aim to appeal to a broader demographic. Experience, confidence, and a professional portfolio are important for success in this age group.

What are some common challenges Senior Modeling professionals face when working on complex projects, and how can they be addressed?

Senior Modeling professionals often encounter challenges such as integrating large and diverse datasets, ensuring model accuracy, and effectively communicating technical findings to non-technical stakeholders. Addressing these challenges requires strong collaboration with data engineers, subject matter experts, and decision-makers, as well as a commitment to continuous learning and validation of models. Utilizing robust model validation techniques, staying updated on industry best practices, and fostering open communication within cross-functional teams can help overcome these hurdles and drive project success.

What is the difference between Senior Modeling vs Data Analyst?

AspectSenior ModelingData Analyst
Required CredentialsBachelor's or Master's in Mathematics, Statistics, or related field; experience with modeling softwareBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentFinancial institutions, consulting firms, or tech companies focusing on predictive modelsBusiness, marketing, or operations teams analyzing data sets
Employer & Industry UsageUsed in finance, insurance, and tech for predictive modelingCommon across industries for data interpretation and reporting

Senior Modeling professionals focus on developing complex predictive models and algorithms, often requiring advanced quantitative skills. Data Analysts interpret data, generate reports, and support decision-making. While both roles work with data, Senior Modeling emphasizes model creation and validation, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as a Senior Modeler, and why are they important?

To thrive as a Senior Modeler, you need advanced expertise in quantitative analysis, statistical modeling, and a relevant degree in mathematics, statistics, finance, or a related field. Mastery of tools such as Python, R, SAS, and familiarity with data visualization and modeling software are typically required, along with certifications like FRM or CFA being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are crucial for developing accurate models, interpreting complex data, and providing actionable insights to guide business or research decisions.

How much can a senior model make?

A senior model can earn between $50,000 and $150,000 annually, depending on experience, industry, and the type of modeling work. They often work with agencies or directly with clients, and higher earnings are associated with commercial, fashion, or specialized modeling roles.

What do models do for work when they get older?

Senior modeling professionals often transition into roles such as brand ambassadors, commercial models, or talent agents, leveraging their experience and industry knowledge. They may also pursue careers in coaching, photography, or fashion consulting, utilizing their skills in presentation and industry connections.

What are Senior Modeling professionals?

Senior Modeling professionals are experts who create, manage, and analyze complex mathematical, statistical, or computational models to solve business or scientific problems. They often work in industries like finance, engineering, data science, and environmental science, using advanced modeling techniques to forecast outcomes, optimize processes, or simulate scenarios. These professionals typically have extensive experience and may also lead teams, mentor junior staff, and contribute to strategy development within their organizations.
What are the most commonly searched types of Modeling jobs in California? The most popular types of Modeling jobs in California are:
What cities in California are hiring for Senior Modeling jobs? Cities in California with the most Senior Modeling job openings:
Infographic showing various Senior Modeling job openings in California as of July 2026, with employment types broken down into 68% Full Time, 13% Part Time, and 19% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $79,236 per year, or $38.1 per hour.

Senior Modeling & Optimization Engineer

Mytra

Brisbane, CA • On-site

$125K - $172K/yr

Full-time

Posted 10 days ago


Job description

Job Summary:
Mytra is creating innovative solutions for the supply chain industry, focusing on robotics and distributed software to address material movement and storage challenges. The Senior Modeling & Optimization Engineer will analyze operational data and build simulation models to validate warehouse designs, ultimately supporting customer engagements and influencing product development.
Responsibilities:
• Analyze customer operational data — order profiles, SKU demand patterns, throughput characteristics, and work schedules — to inform system design and sizing decisions.
• Design, build, and execute simulation models (discrete-event simulation, scoped scenario models) to validate warehouse designs and quantify system performance for customer proposals.
• Develop optimization models and recommender logic to support layout decisions, fleet sizing, zoning strategies, and other design trade-offs.
• Embed directly in customer engagement teams alongside solutions engineers and account owners; translate analytical findings into deliverables that are clear to both internal stakeholders and customers.
• Conduct structured experiments, sensitivity analyses, and design space explorations; communicate results and actionable recommendations to technical and non-technical audiences.
• Build repeatable analytical workflows, scenario configurations, and validation frameworks that raise the baseline capability of the broader commercial engineering org.
• Contribute to the team's shared tooling — modeling libraries, data pipelines, visualization templates, and automation — with an emphasis on enabling others to self-serve over time.
Qualifications:
Required:
• 5+ years of industry or relevant experience.
• Strong proficiency in Python, including object-oriented design and building production-grade code.
• Experience with at least two of: discrete-event simulation, mathematical optimization, statistical modeling, or applied data science.
• Ability to design experiments, analyze data, and communicate insights clearly to technical and non-technical audiences.
• Solid engineering fundamentals (systems thinking, algorithmic reasoning, version control, testing).
• Comfort working directly with customers or in customer-adjacent roles where your analysis informs high-stakes decisions.
Preferred:
• Professional experience on a modeling, simulation, operations research, or applied data science team.
• Familiarity with DES frameworks (SimPy, salabim, or equivalent).
• Background in warehouse automation, robotics, manufacturing systems, industrial engineering, or supply chain.
• Experience with data visualization tools (Plotly, Matplotlib, Dash, etc.).
• Experience building internal tools, modeling libraries, or analytical workflows used by others.
• Exposure to optimization solvers or libraries (OR-Tools, Gurobi, PuLP, scipy.optimize, etc.).
Company:
Mytra is a robotics company developing software-defined warehouse robotics solutions to automate industrial tasks in logistics. Founded in 2022, the company is headquartered in Brisbane, USA, with a team of 51-200 employees. The company is currently Growth Stage.