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Predictive Modeling Analyst Jobs in California (NOW HIRING)

LMI

Data Scientist - Clearance Required

Fort Bragg, CA · On-site

LMI is seeking a Data Scientist to support a Special Operations Command (SOCOM) mission partner with advanced analytics, predictive modeling, natural language processing, and artificial intelligence ...

Ra

Health Analyst

Los Angeles, CA

As a healthcare analyst, you will be performing research/analysis based on the client data followed ... You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced ...

LMI

Data Scientist - Clearance Required

Fort Bragg, CA · On-site

Overview LMI is seeking a Data Scientist to support a Special Operations Command (SOCOM) mission partner with advanced analytics, predictive modeling, natural language processing, and artificial ...

LMI

Data Scientist - Clearance Required

Fort Bragg, CA · On-site

Overview LMI is seeking a Data Scientist to support a Special Operations Command (SOCOM) mission partner with advanced analytics, predictive modeling, natural language processing, and artificial ...

Jobtailor

Principal Product Manager

Foster City, CA · On-site

Reimagine enterprise spend-data experiences through embedded analytics dashboards and predictive models * Help CPOs and finance leaders forecast spend, identify cost-saving opportunities, and ...

Ra

Data Analyst

Los Angeles, CA

We are awaiting to meet the excellent analytic specialist exactly like you. We would love to listen ... You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced ...

Ra

Senior Analyst

Los Angeles, CA

$94K - $125K/yr

We are awaiting to meet the excellent analytic specialist exactly like you. We would love to listen ... You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced ...

Ra

Healthcare Analyst

Los Angeles, CA

As a healthcare analyst, you will be performing research/analysis based on the client data followed ... You have worked in Healthcare. * You are amazing in using Predictive Modeling and advanced ...

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Support business needs related to analytics, predictive modeling, and business intelligence. Collaborate effectively with internal clients to translate their needs into data science use cases.

Cetera

Marketing Analytics Manager

San Diego, CA

Build forecasting models, predictive analytics, and actionable segmentation to support marketing and sales planning, targeted communications, journey analysis, prioritization, and strategy.

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All JobsPredictive Modeling Analyst JobsPredictive Modeling Analyst Jobs in California

Predictive Modeling Analyst information

See California salary details

$32.3K

$97.4K

$183.1K

How much do predictive modeling analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for predictive modeling analyst in California is $97,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,201.00 and $123,382.00 per year, depending on experience, location, and employer.

What does a predictive modeling analyst do?

A Predictive Modeling Analyst uses statistical techniques and data analysis tools to forecast future outcomes based on historical data. They build mathematical models to identify patterns and trends, helping organizations make data-driven decisions in areas like marketing, finance, and operations. Their work often involves cleaning data, selecting relevant variables, and evaluating the accuracy of their models to ensure reliable predictions.

What are the key skills and qualifications needed to thrive as a predictive modeling analyst?

To thrive as a Predictive Modeling Analyst, you need strong statistical analysis, data mining, and mathematical modeling skills, typically supported by a degree in statistics, mathematics, computer science, or a related field. Proficiency with analytical tools and languages such as Python, R, SAS, and familiarity with data visualization software and databases is essential. Critical thinking, problem-solving, and effective communication are key soft skills that help convey complex findings to stakeholders. These skills and qualities are crucial for generating accurate predictions and actionable insights that drive strategic business decisions.

How does a predictive modeling analyst typically collaborate with other departments within an organization?

Predictive Modeling Analysts often work closely with departments such as Marketing, Finance, Operations, and IT to understand business needs and deliver actionable insights. They translate complex statistical findings into clear recommendations, ensuring stakeholders from non-technical backgrounds can make informed decisions. Regular meetings, cross-functional project teams, and data-sharing platforms are common collaboration tools, making strong communication and teamwork skills essential. This collaborative approach not only improves model effectiveness but also helps align predictive analytics with overall business strategies.

How to become a predictive modeling analyst?

To become a predictive modeling analyst, typically a bachelor's degree in fields like statistics, mathematics, or data science is required. Developing skills in programming languages such as Python or R, understanding machine learning algorithms, and gaining experience with data analysis tools are essential. Earning certifications in data science or analytics can also enhance job prospects.
Predictive Modeling Analyst jobs near you
Infographic showing various Predictive Modeling Analyst job openings in California as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $97,365 per year, or $46.8 per hour.

Device Modeling Engineer

San Jose, CA • On-site

Power Integrations
Semiconductor and Electronic Component Manufacturing • 501 - 1,000 employees
Learn more about Power Integrationsexternal

Full-time

Re-posted 20 days ago

Job description

The Device Modeling Engineer is responsible for the development, validation, and release of accurate device models and cells for silicon (Si) and wide-bandgap (WBG) power devices, supporting Power Integrations' product development and technology roadmap.
This role is critical in bridging device physics, characterization, and circuit-level simulation to enable first-time-right silicon, robust product definition, and predictive design across multiple power platforms.
The ideal candidate brings deep expertise in semiconductor device physics, hands-on characterization, and model extraction, with a strong ability to collaborate across device, IC design, product engineering, and applications teams.

Key Responsibilities
Device Modeling & Model Development
Develop, maintain, and release device models and model libraries for Si and WBG (GaN) technologies across multiple voltage and power ranges
Create compact models suitable for circuit simulation (SPICE-level) and system-level design
Ensure models accurately capture static, dynamic, thermal, and transient behavior across operating conditions
Support development of next-generation GaN and high-voltage technologies through predictive modeling
Characterization & Parameter Extraction
Define and execute device characterization plans for model extraction
Perform electrical and thermal measurements, including switching behavior, loss mechanisms, and parasitic effects
Extract model parameters using measurement data and ensure correlation across:
o Process corners
o Temperature and voltage extremes
o System operating conditions
Drive improvements in measurement methodologies and test setups
Simulation & Validation
Perform device-level and circuit-level simulations to validate model accuracy
Correlate simulation vs. measured data and identify discrepancies
Work closely with IC design teams to ensure models are:
o Accurate for design
o Efficient for simulation
o Robust across use cases
Support validation for new product introductions (NPI) and technology releases
Technology & Product Support
Provide modeling support for new device architectures and process technologies
Evaluate electrical and thermal characteristics of GaN and high-voltage power devices
Support failure analysis, reliability studies, and qualification activities from a modeling perspective
Contribute to design reviews and risk assessments for new products
Cross-Functional Collaboration
Collaborate closely with:
o Device engineering
o IC design and layout teams
o Product and test engineering
o Applications engineering
Ensure models meet internal design needs and external customer requirements
Support key customer engagements requiring model validation or customization
Model Infrastructure & Continuous Improvement
Maintain and enhance modeling flows, libraries, and documentation
Improve automation for parameter extraction, validation, and release processes
Drive best practices for model quality, version control, and deployment

Qualifications
Education & Experience
M.S. or Ph.D. in Electrical Engineering (semiconductor devices preferred)
Typical experience:
o Ph.D. + 3+ years, OR
o M.S. + 6+ years, OR
o B.S. + 8+ years
Proven track record in device modeling for Si and/or WBG technologies
Technical Skills
Deep understanding of:
o Semiconductor device physics (Si and GaN strongly preferred)
o Device operation, parasitics, and switching behavior
Strong experience with:
o Model extraction and development
o High-voltage device characterization and test systems
o CADENCE or equivalent simulation tools (Spectre/SPICE)
Familiarity with:
o Compact modeling methodologies
o Electro-thermal modeling
o Behavioral modeling for system simulation

Employment Type: Regular Full-Time

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