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Predictive Modeler Jobs in California (NOW HIRING)

You will... - Design, implement, and scale state-of-the-art generative and predictive world-modeling systems: * Video generation and prediction * Latent diffusion / autoregressive / flow-matching ...

You will... - Design, implement, and scale state-of-the-art generative and predictive world-modeling systems: * Video generation and prediction * Latent diffusion / autoregressive / flow-matching ...

You will... - Conduct fundamental and applied research in generative and predictive world-modeling • Video generation and prediction. • Latent diffusion / autoregressive / flow-matching models ...

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Inform the selection of appropriate modeling techniques to ensure that predictive models are developed using rigorous statistical processes * Establish and maintain effective processes for validating ...

You will... - Conduct fundamental and applied research in generative and predictive world-modeling Video generation and prediction. Latent diffusion / autoregressive / flow-matching models.

You will... - Design, implement, and scale state-of-the-art generative and predictive world-modeling systems: * Video generation and prediction * Latent diffusion / autoregressive / flow-matching ...

You will... - Conduct fundamental and applied research in generative and predictive world-modeling • Video generation and prediction. • Latent diffusion / autoregressive / flow-matching models ...

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Showing results 1-20

Predictive Modeler information

See California salary details

$10

$57

$82

How much do predictive modeler jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for predictive modeler in California is $57.94, according to ZipRecruiter salary data. Most workers in this role earn between $51.97 and $67.36 per hour, depending on experience, location, and employer.

How does a Predictive Modeler typically collaborate with data scientists and business stakeholders during a project?

Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.

What are predictive modelers?

Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.

What is the difference between Predictive Modeler vs Data Analyst?

AspectPredictive ModelerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analyticsBachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools
Work EnvironmentData science teams, analytics departments, often in tech, finance, or healthcare industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageUsed for building predictive models to forecast trends and behaviorsUsed for interpreting data, generating reports, and providing insights

While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.

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

To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.
What are popular job titles related to Predictive Modeler jobs in CA? For Predictive Modeler jobs in CA, the most frequently searched job titles are:
Infographic showing various Predictive Modeler job openings in California as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Temporary, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $120,524 per year, or $57.9 per hour.
Director Predictive Data Analytics

Director Predictive Data Analytics

Pacific Life Insurance Company

Newport Beach, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Pacific Life rating

6.8

Company rating: 6.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

231st of 261 rated insurance


Job description

Job Description:

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own.

We're actively seeking a talented Director of Sales Insights and Analytics to join our CMD Sales Intelligence Team in Newport Beach, CA or Omaha, NE.

As a Director of Sales Insights and Analytics, you'll move Pacific Life, and your career, forward by leading a team providing predictive analytics and insights support for the Sales and Marketing organization. The qualified candidate requires a high level of collaboration across multiple departments working with experienced project teams, sales and executive management, and other business partners.The position will increase the utilization of our existing data and analytic tools and will lead the evolution of future predictive analytic capabilities. This includes evaluating business use case opportunities, while solving for the technical challenges of linking disparate datasets from internal data, market data, competitor data, etc. You will fill a existing role that sits on a team of sales analysts in the CMD division.

How you'll help move us forward:

  • Manage the reporting and analytics team whose focus is on the development and presentation of strategic and tactical analyses with visualization for use cases that support the generation of sales leads.
  • Proven ability to transform an existing business intelligence & reporting team into a data-driven predictive analytics team
  • Deliver Insights: Translate data into insights and deliverables that directly influence Sales & Marketing teams' business decisions.
  • Develop and implement best practices by establishing workflows and reporting/predictive analytical capabilities to meet the demands of external and internal stakeholders.
  • Cultivate relationships to manage customer expectations to deliver the highest level of service in a demanding and ever-changing environment.
  • Ability to present to audiences of various sizes and authority levels.

Ability to collaborate with data scientists and technology management with a fundamental understanding of advanced modeling techniques.
The experience you bring:

  • Bachelor's degree
  • 10+ years of experience building & managing a reporting and predictive analytics team.
  • 7+ years of experience in the life insurance or financial services space.
  • Strong attention to detail, well organized, takes responsibility for actions and projects.
  • Dynamic and inspirational leadership skills
  • Proficient with Microsoft Office applications and familiarity with data visualization and preparation tools such as Tableau and Alteryx.

#LI-TB1

Base Pay Range:

The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.

$184,680.00 - $225,720.00

Your Benefits Start Day 1

Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered.

  • Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents

  • Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off

  • Paid Parental Leave as well as an Adoption Assistance Program

  • Competitive 401k savings plan with company match and an additional contribution regardless of participation

You Can Be Who You Are

We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.

What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife

EEO Statement:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.


Pacific Life logo

About Pacific Life

Sourced by ZipRecruiter

When you purchase life insurance and retirement solutions, you're buying a promise. A promise that today, tomorrow or ten years from now, we'll be there. For more than 150 years, our clients have trusted Pacific Life to protect what matters most to them - their families, their businesses, their futures.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Newport Beach, CA, US

Year founded

1868

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