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Insurance Modeling Jobs in California (NOW HIRING)

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Data Science Lead, Quant Modeling

San Jose, CA · On-site

$179K - $374K/yr

The role will cover a wide range of model-driven solutions to deliver superior business outcomes ... Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with ...

Fashion Nova

Fit Model

Beverly Hills, CA · On-site

ROLE OVERVIEW The Fit Model | Merchandising Assistant will be responsible for ensuring that our ... Comprehensive health insurance across Medical, Dental and Vision * 401k match, with immediate ...

Fashion Nova

Fit Model

Beverly Hills, CA

ROLE OVERVIEW The Fit Model | Merchandising Assistant will be responsible for ensuring that our ... Comprehensive health insurance across Medical, Dental and Vision * 401k match, with immediate ...

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All JobsInsurance Modeling JobsInsurance Modeling Jobs in California

Insurance Modeling information

What is the difference between Insurance Modeling vs Actuarial Analyst?

AspectInsurance ModelingActuarial Analyst
Required CredentialsOften requires proficiency in Excel, VBA, SQL, and insurance-specific software; certifications like CPCU or FCAS are beneficialTypically requires actuarial exams, a degree in mathematics or statistics, and actuarial certifications (SOA, CAS)
Work EnvironmentFinancial institutions, insurance companies, consulting firms; focus on model development and data analysisInsurance companies, consulting firms; focus on risk assessment and valuation
Industry UsageUsed for pricing, reserving, and risk modeling in insurance productsUsed for reserving, pricing, and risk analysis, often involving regulatory compliance

Insurance Modeling and Actuarial Analyst roles share overlapping skills in data analysis and insurance knowledge. However, Insurance Modeling emphasizes building and maintaining financial models using software tools, while Actuarial Analysts focus on applying mathematical and statistical methods to assess risk and determine pricing. Both roles are vital in the insurance industry but differ in certification requirements and daily tasks.

What are popular job titles related to Insurance Modeling jobs in California? For Insurance Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Insurance Modeling jobs in California look for? The top searched job categories for Insurance Modeling jobs in California are:
What cities in California are hiring for Insurance Modeling jobs? Cities in California with the most Insurance Modeling job openings:
Insurance Modeling jobs near you
Infographic showing various Insurance Modeling job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Senior Machine Learning Scientist, Conversion Modeling

Senior Machine Learning Scientist, Conversion Modeling

Roku

San Jose, CA

$148K - $361K/yr

Other

Medical, Life, PTO

Posted 24 days ago

Job description

About the team 

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will work on applying SOTA research and conduct your own research to develop novel methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing. 

We're looking for a strong technical leader with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.

For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing
  • Building generative models to generate image and video ads geared towards optimizing performance
  • Stay at the forefront of advancements in related areas
We're excited if you have
  • PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field
  • 8+ years of experience in applied research using statistical and deep learning techniques
  • Published paper(s) on deep learning models for Advertising or related areas
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Experience in the Advertising domain
  • Contributions to open-source ML projects 
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